demos — CS2 Stats

BG76561198311078710[U:1:350812982]Steam profile ↗✓ No bans

2,140Tracked matches40%Win rate2022Tracked since

8,074Hours in CS

CSDB Rating6.0 SolidAggressive Rifler

FaceitLevel 10 · 2,106 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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	45.7%	51.7%
Shot accuracy	10.1%	13.8%
Kill/death ratio	1.46	1.09
Match win rate	48.7%	48.7%

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Performance scores

Aim85

Positioning58

Utility50

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateWLLLWLLLLL

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression8.4

Utility5.0

Positioning5.8

Opening Duels4.2

Clutch3.4

Sharp aimerStrong 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.

Your pro match

Plays most like ropz 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency.

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 85 — the mechanical foundation is a clear strength.

CT openings. 62% 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.

T-side openings. Opening success drops from 62% on CT to 32% 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

Aim8.5

Positioning5.8

Utility5.0

Mechanics6.4

Opening Duels4.2

Win Impact1.7

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time520ms−13ms

first ⅓ avg 533ms → last ⅓ avg 520ms

Headshot accuracy22.4%+1.5%

first ⅓ avg 20.9% → last ⅓ avg 22.4%

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

0.24Best rating — mirage 13–7

13–1Biggest win — mirage

5Longest win streak

4–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	31	18–13	58%	0.03
dust2	C	23	10–13	43%	0.01
ancient	A	14	9–5	64%	0.01
anubis	B	11	5–6	45%	-0.01
inferno	D	9	3–6	33%	-0.00
nuke	—	4	1–3	25%	-0.00
cache	—	3	0–3	0%	0.03
vertigo	—	2	0–2	0%	0.09
overpass	—	2	1–1	50%	-0.04
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

194,928Lifetime kills

1.46K/D · Top 10% of Level 10 players

5,329Matches

48.7%Match win rate · Top 50% of Level 10 players

45.7%Headshot %

10.1%Shot accuracy

19,801MVPs

8,074Hours (in match)

7,695Bombs planted

1,656Bombs defused

Most-used weapons

AK-4766,228

AWP25,538

Knife24,604

M4A4 / M4A1-S15,829

Desert Eagle14,486

P25011,188

P2000 / USP-S7,622

Glock-185,769

Galil AR2,617

P902,589

Lifetime map wins

11,549dust2

7,302inferno

2,059nuke

1,420vertigo

694train

480cbble

195lake

182office

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

Faceit stats

Combat

2,163Matches

51%Win rate

1.12Avg K/D

79.7ADR

43%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	556	52%	1.16	16.9
Dust2	362	49%	1.09	16.4
Ancient	302	50%	1.09	16.3
Inferno	224	53%	1.18	15.8
Anubis	129	52%	1.09	15.8
Overpass	98	59%	1.20	16.5
Nuke	73	40%	1.09	16.9
Train	20	55%	1.30	18.1

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.

21.2%Headshot accuracy

37.5%Accuracy (enemy spotted)

35.7%Spray accuracy

78.8%Counter-strafing

8.0°Preaim

505msReaction time

31.5%T opening success

61.7%CT opening success

0.56Enemies flashed / flash

8.8%Flash assists

9.08HE damage / grenade

6.61Flashes / 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 31.5442% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	0.04	36%	30 Aug →
mirage	7–13	-0.03	6%	30 Aug →
anubis	7–13	0.00	23%	29 Aug →
nuke	13–16	-0.01	21%	26 Aug →
ancient	13–8	0.05	20%	26 Aug →
mirage	11–13	-0.02	18%	26 Aug →
dust2	5–13	-0.02	35%	24 Aug →
mirage	5–13	-0.03	23%	21 Aug →
mirage	10–13	0.01	20%	20 Aug →
anubis	3–13	-0.02	8%	20 Aug →
ancient	13–7	-0.05	15%	20 Aug →
anubis	13–7	0.03	13%	19 Aug →
mirage	13–9	0.03	16%	18 Aug →
mirage	3–0	0.14	43%	18 Aug →
ancient	13–10	-0.01	15%	18 Aug →
dust2	5–13	-0.06	13%	16 Aug →
anubis	15–19	0.03	19%	14 Aug →
inferno	13–8	0.03	12%	14 Aug →
anubis	13–2	-0.04	13%	10 Aug →
dust2	7–13	0.03	26%	9 Aug →
mirage	13–6	-0.06	18%	8 Aug →
inferno	4–13	-0.12	27%	7 Aug →
dust2	10–13	-0.02	14%	2 Aug →
dust2	7–13	0.04	46%	2 Aug →
vertigo	9–13	0.07	20%	2 Aug →
dust2	6–13	-0.02	29%	1 Aug →
ancient	5–13	-0.01	17%	1 Aug →
mirage	13–11	0.12	43%	31 Jul →
anubis	13–5	0.02	18%	31 Jul →
vertigo	7–13	0.11	26%	29 Jul →
dust2	13–6	0.11	19%	28 Jul →
cache	11–13	0.11	24%	26 Jul →
mirage	13–8	0.03	44%	26 Jul →
dust2	13–2	0.02	27%	25 Jul →
anubis	13–11	-0.04	20%	25 Jul →
mirage	11–13	0.07	28%	23 Jul →
ancient	6–13	-0.05	15%	23 Jul →
nuke	13–7	-0.06	15%	23 Jul →
mirage	13–7	0.24	29%	20 Jul →
dust2	7–2	0.10	25%	20 Jul →
nuke	19–22	-0.03	18%	19 Jul →
train	13–8	0.03	32%	19 Jul →
mirage	16–13	0.06	19%	19 Jul →
mirage	10–13	-0.01	21%	16 Jul →
inferno	9–13	-0.06	15%	15 Jul →
ancient	13–4	0.03	14%	15 Jul →
ancient	10–13	-0.02	9%	14 Jul →
ancient	13–4	0.03	12%	9 Jul →
anubis	5–13	0.00	16%	8 Jul →
dust2	9–13	-0.01	25%	7 Jul →
dust2	13–9	0.08	18%	5 Jul →
anubis	5–13	-0.05	23%	5 Jul →
mirage	8–13	0.00	19%	4 Jul →
mirage	9–13	0.02	17%	3 Jul →
anubis	13–10	-0.01	15%	3 Jul →
dust2	13–11	-0.02	14%	2 Jul →
overpass	9–5	-0.02	0%	29 Jun →
inferno	9–5	0.12	14%	29 Jun →
mirage	11–13	0.04	12%	28 Jun →
mirage	13–9	0.05	31%	28 Jun →
dust2	11–13	0.01	16%	25 Jun →
mirage	13–8	-0.02	18%	23 Jun →
dust2	13–3	0.03	15%	22 Jun →
overpass	9–13	-0.05	16%	18 Jun →
dust2	13–11	-0.03	22%	18 Jun →
mirage	2–13	-0.04	13%	16 Jun →
ancient	13–6	0.07	15%	16 Jun →
dust2	8–13	-0.02	18%	16 Jun →
mirage	16–13	0.00	23%	16 Jun →
mirage	16–12	0.01	21%	14 Jun →
mirage	13–8	0.06	15%	14 Jun →
mirage	13–6	0.03	26%	14 Jun →
inferno	3–13	-0.07	10%	14 Jun →
dust2	19–16	0.12	40%	12 Jun →
mirage	2–13	-0.05	22%	12 Jun →
cache	11–13	0.03	30%	12 Jun →
ancient	13–9	0.06	32%	12 Jun →
nuke	12–12	0.09	24%	10 Jun →
mirage	9–13	0.04	20%	10 Jun →
anubis	7–13	0.02	23%	10 Jun →
mirage	13–10	0.04	13%	10 Jun →
mirage	11–13	0.03	26%	10 Jun →
mirage	13–7	0.00	28%	10 Jun →
ancient	2–13	-0.05	40%	9 Jun →
inferno	13–6	-0.01	13%	9 Jun →
inferno	0–13	-0.13	10%	8 Jun →
mirage	13–10	0.00	11%	8 Jun →
ancient	13–4	0.05	26%	8 Jun →
dust2	11–13	0.01	13%	8 Jun →
dust2	3–13	-0.01	19%	8 Jun →
ancient	13–7	0.05	28%	8 Jun →
mirage	13–1	0.08	28%	8 Jun →
inferno	8–8	0.16	30%	8 Jun →
dust2	0–4	-0.06	0%	8 Jun →
mirage	16–13	0.04	9%	7 Jun →
dust2	6–13	-0.03	14%	7 Jun →
dust2	13–7	-0.01	21%	7 Jun →
inferno	6–13	0.02	35%	7 Jun →
cache	7–13	-0.04	4%	7 Jun →
ancient	10–13	-0.00	19%	7 Jun →