brt. — CS2 Stats

76561198207516540[U:1:247250812]

2,897Tracked matches36%Win rate2020Tracked since

3,792Hours in CS

CSDB Rating7.1 StrongEntry Fragger

Premier CS Rating23,099Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

CSDB Leaderboard#7578 of 33223 tracked

FaceitLevel 10 · 2,372 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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	45.3%	52.0%
Shot accuracy	12.4%	13.7%
Kill/death ratio	1.37	1.08
Match win rate	51.0%	48.8%

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Performance scores

Aim85

Positioning76

Utility74

0–100 skill scores via Leetify.

Recent form

COLD39–57–4Last 10039%Win rateTLLLLLWTLL

Last 10 vs previous 10: -30pp win rate · +0.04 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.5

Aggression10.0

Utility7.4

Positioning7.6

Opening Duels6.8

Clutch3.8

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 s1mple 95% playstyle similarity

Most alike: opening-fight frequency, 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 85 — the mechanical foundation is a clear strength.

CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 71% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Positioning7.6

Utility7.4

Mechanics7.2

Opening Duels6.7

Win Impact0.2

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06−0.00

first ⅓ avg 0.06 → last ⅓ avg 0.06

Reaction time560ms−21ms

first ⅓ avg 581ms → last ⅓ avg 560ms

Headshot accuracy22.5%+0.3%

first ⅓ avg 22.1% → last ⅓ avg 22.5%

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

0.20Best rating — italy 10–13

13–2Biggest win — ancient

5Longest win streak

5–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	22	8–14	36%	0.06
anubis	B	15	7–8	47%	0.05
ancient	C	14	5–9	36%	0.06
dust2	C	12	5–7	42%	0.04
inferno	D	12	4–8	33%	0.05
nuke	S	9	7–2	78%	0.06
overpass	—	4	1–3	25%	0.16
italy	—	3	1–2	33%	0.09
mirage	—	3	0–3	0%	-0.00
train	—	2	1–1	50%	0.06
fachwerk	—	2	0–2	0%	-0.03
vertigo	—	1	0–1	0%	0.06
boulder	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

221,292Lifetime kills

1.37K/D · Top 25% of Level 10 players

9,414Matches

51.0%Match win rate · Top 50% of Level 10 players

45.3%Headshot %

12.4%Shot accuracy

25,350MVPs

3,792Hours (in match)

5,166Bombs planted

1,480Bombs defused

Most-used weapons

AK-4757,932

M4A4 / M4A1-S35,565

AWP25,200

Desert Eagle24,314

P2000 / USP-S14,469

SSG 086,046

Glock-185,961

P904,561

Tec-93,851

P2503,825

Lifetime map wins

30,192office

11,631inferno

5,163dust2

4,620nuke

2,914train

2,219cbble

1,958vertigo

1,359italy

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

Faceit stats

Combat

445Matches

57%Win rate

1.32Avg K/D

87.4ADR

41%Headshot %

Clutches & streaks

39%1v1 clutch win

28%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	76	54%	1.29	18.3
Inferno	64	55%	1.34	17.7
Nuke	52	60%	1.51	16.9
Ancient	26	65%	1.20	17.5
Train	24	54%	1.33	16.5
Overpass	16	69%	1.15	16.9
Vertigo	14	64%	1.53	17.6
Dust2	5	40%	1.30	19.8

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.

22.6%Headshot accuracy

35.8%Accuracy (enemy spotted)

38.8%Spray accuracy

82.5%Counter-strafing

8.0°Preaim

550msReaction time

43.4%T opening success

71.2%CT opening success

0.70Enemies flashed / flash

8.1%Flash assists

12.20HE damage / grenade

15.59Flashes / match

Recommended for you

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 12 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	12–12	0.09	18%	28 Aug →
cache	5–13	0.13	35%	24 Aug →
overpass	7–13	0.14	32%	24 Aug →
inferno	10–13	0.07	30%	24 Aug →
nuke	10–13	0.04	19%	15 Aug →
dust2	11–13	0.02	13%	15 Aug →
inferno	13–4	0.08	24%	15 Aug →
train	12–12	0.05	27%	13 Aug →
cache	11–13	0.12	27%	13 Aug →
inferno	6–13	0.12	21%	13 Aug →
cache	6–13	-0.00	8%	13 Aug →
anubis	13–9	0.14	16%	13 Aug →
cache	6–13	0.00	14%	12 Aug →
anubis	8–13	0.01	24%	12 Aug →
nuke	16–14	0.16	21%	11 Aug →
dust2	6–13	-0.08	63%	11 Aug →
ancient	13–2	0.08	32%	11 Aug →
ancient	6–13	0.03	23%	10 Aug →
cache	9–13	0.01	18%	10 Aug →
dust2	16–12	0.12	16%	10 Aug →
ancient	13–7	0.13	16%	10 Aug →
nuke	13–5	0.05	16%	9 Aug →
inferno	13–5	0.04	22%	8 Aug →
ancient	13–7	0.13	29%	8 Aug →
inferno	11–13	0.05	21%	8 Aug →
dust2	13–6	0.04	25%	8 Aug →
inferno	3–13	0.01	28%	6 Aug →
ancient	3–13	-0.05	18%	6 Aug →
dust2	6–13	0.04	15%	6 Aug →
ancient	11–13	0.08	20%	6 Aug →
cache	13–6	0.06	15%	6 Aug →
ancient	6–13	0.04	20%	6 Aug →
dust2	5–13	-0.01	19%	6 Aug →
cache	12–16	0.03	16%	6 Aug →
overpass	13–8	0.18	25%	5 Aug →
cache	5–13	0.01	17%	5 Aug →
italy	4–13	-0.02	33%	5 Aug →
overpass	9–13	0.17	17%	5 Aug →
italy	10–13	0.20	21%	5 Aug →
mirage	2–13	-0.00	21%	5 Aug →
cache	2–13	0.06	5%	4 Aug →
anubis	13–3	0.14	26%	4 Aug →
ancient	9–13	0.09	27%	4 Aug →
cache	13–3	0.07	20%	4 Aug →
vertigo	4–13	0.06	22%	4 Aug →
anubis	15–15	-0.03	30%	2 Aug →
cache	10–13	0.12	17%	2 Aug →
ancient	15–15	0.03	19%	2 Aug →
anubis	8–13	-0.01	26%	2 Aug →
anubis	11–13	0.03	28%	1 Aug →
dust2	13–7	0.12	19%	1 Aug →
cache	6–13	-0.01	25%	31 Jul →
dust2	8–13	0.09	17%	31 Jul →
dust2	13–9	0.04	16%	31 Jul →
nuke	13–7	0.12	18%	31 Jul →
anubis	6–13	0.08	27%	31 Jul →
dust2	13–8	0.06	22%	31 Jul →
cache	5–13	-0.00	10%	31 Jul →
inferno	7–13	0.03	17%	31 Jul →
anubis	3–13	0.06	35%	31 Jul →
nuke	16–13	0.02	18%	30 Jul →
cache	13–2	0.18	38%	30 Jul →
cache	6–13	-0.05	29%	30 Jul →
nuke	13–8	0.00	21%	30 Jul →
nuke	13–3	0.11	16%	30 Jul →
inferno	4–13	-0.07	18%	29 Jul →
dust2	5–13	-0.04	21%	29 Jul →
anubis	13–10	0.07	26%	29 Jul →
ancient	13–6	0.06	23%	29 Jul →
anubis	13–7	0.01	20%	29 Jul →
fachwerk	1–13	-0.08	12%	22 Jul →
ancient	11–13	0.01	26%	22 Jul →
nuke	4–13	0.02	13%	21 Jul →
mirage	10–13	0.00	16%	21 Jul →
ancient	6–13	0.09	20%	21 Jul →
cache	13–5	0.11	22%	21 Jul →
anubis	13–11	0.03	15%	21 Jul →
anubis	13–10	0.07	26%	21 Jul →
inferno	7–13	0.03	25%	21 Jul →
mirage	10–13	-0.00	21%	20 Jul →
ancient	13–8	0.13	16%	20 Jul →
cache	16–13	0.10	22%	20 Jul →
fachwerk	3–13	0.03	13%	20 Jul →
boulder	5–13	0.06	14%	20 Jul →
anubis	14–16	0.06	16%	19 Jul →
cache	13–2	0.16	18%	19 Jul →
cache	8–13	0.03	25%	19 Jul →
inferno	7–13	0.04	31%	19 Jul →
cache	5–13	0.05	16%	18 Jul →
cache	13–11	0.09	16%	18 Jul →
nuke	13–10	0.04	27%	18 Jul →
anubis	16–14	0.06	17%	18 Jul →
ancient	4–13	0.03	25%	18 Jul →
inferno	13–5	0.16	32%	17 Jul →
inferno	13–10	0.10	24%	17 Jul →
train	13–11	0.06	19%	17 Jul →
overpass	8–13	0.15	28%	16 Jul →
cache	13–3	0.14	29%	16 Jul →
italy	13–3	0.10	42%	16 Jul →
anubis	5–13	0.05	34%	15 Jul →