bMw — CS2 Stats

TH76561198137417456[U:1:177151728]Steam profile ↗✓ No bans

402Tracked matches37%Win rate2021Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating21,877Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning53

Utility36

0–100 skill scores via Leetify.

Recent form

COLD49–48–2Last 9949%Win rateWLWLLLLLWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.2

Aggression5.8

Utility3.6

Positioning5.3

Opening Duels1.7

Clutch4.2

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.

Your pro match

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, positioning 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

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 44% 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

Aim8.2

Positioning5.3

Utility3.6

Mechanics6.9

Opening Duels1.8

Win Impact0.6

Composite 5.4/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time547ms−13ms

first ⅓ avg 560ms → last ⅓ avg 547ms

Headshot accuracy15.3%−3.3%

first ⅓ avg 18.6% → last ⅓ avg 15.3%

Rolling 5-match average across the last 99 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.19Best rating — overpass 13–3

13–0Biggest win — anubis

4Longest win streak

12–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 63% over 8cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	19	8–11	42%	0.02
inferno	A	19	11–8	58%	0.02
ancient	B	15	8–7	53%	0.02
mirage	C	14	6–8	43%	0.02
dust2	C	10	4–6	40%	0.02
overpass	A	8	5–3	63%	0.06
cache	D	6	1–5	17%	0.02
nuke	—	3	2–1	67%	0.01
vertigo	—	3	2–1	67%	0.04
train	—	2	2–0	100%	0.03

Across the last 99 tracked matches.

Faceit stats

Combat

370Matches

52%Win rate

1.22Avg K/D

87.1ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	83	47%	1.18	17.9
Ancient	79	61%	1.29	18.0
Anubis	60	50%	1.32	19.7
Dust2	45	44%	1.10	17.5
Overpass	36	50%	1.30	19.5
Mirage	33	61%	1.10	17.8
Vertigo	10	90%	1.46	18.5
Nuke	10	30%	0.95	16.6

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.

14.7%Headshot accuracy

38.4%Accuracy (enemy spotted)

42.1%Spray accuracy

81.3%Counter-strafing

8.1°Preaim

546msReaction time

28.9%T opening success

44.4%CT opening success

0.58Enemies flashed / flash

8.8%Flash assists

1.94HE damage / grenade

5.33Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.7358% — below the 15% mark we flag
Aim Training →
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 28.9248% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–4	0.07	19%	26 Aug →
ancient	10–13	0.04	11%	20 Aug →
anubis	13–10	-0.05	15%	20 Aug →
mirage	8–13	-0.04	20%	20 Aug →
cache	7–13	-0.03	16%	19 Aug →
ancient	3–13	0.00	20%	19 Aug →
ancient	2–13	-0.00	13%	17 Aug →
mirage	3–13	-0.01	27%	17 Aug →
ancient	13–5	0.06	11%	17 Aug →
dust2	4–13	0.02	16%	13 Aug →
anubis	6–13	0.03	15%	12 Aug →
anubis	14–16	0.01	8%	10 Aug →
anubis	14–16	0.04	10%	7 Aug →
nuke	11–13	-0.02	6%	7 Aug →
mirage	8–13	0.11	16%	7 Aug →
anubis	12–16	-0.07	9%	6 Aug →
cache	10–13	-0.04	11%	5 Aug →
ancient	13–9	0.02	16%	5 Aug →
anubis	13–11	0.01	11%	4 Aug →
dust2	5–13	-0.02	19%	2 Aug →
dust2	13–2	0.02	37%	2 Aug →
inferno	13–11	0.08	22%	2 Aug →
cache	10–13	0.00	11%	1 Aug →
anubis	0–13	-0.07	14%	1 Aug →
dust2	8–13	0.04	19%	1 Aug →
inferno	13–11	-0.04	9%	31 Jul →
ancient	13–8	0.06	9%	31 Jul →
cache	13–7	0.04	14%	29 Jul →
inferno	5–13	-0.04	21%	29 Jul →
mirage	13–3	-0.01	24%	23 Jul →
mirage	13–9	0.06	18%	20 Jul →
anubis	10–13	0.02	9%	5 Jul →
overpass	8–13	0.01	14%	5 Jul →
inferno	8–13	0.04	15%	29 Jun →
inferno	13–10	0.02	18%	25 Jun →
nuke	13–7	0.03	24%	16 Jun →
overpass	13–7	0.05	15%	16 Jun →
anubis	13–11	0.10	12%	29 May →
mirage	11–13	0.00	23%	4 May →
anubis	13–11	0.11	12%	2 May →
cache	10–13	0.05	17%	1 May →
cache	12–12	0.10	15%	1 May →
inferno	13–9	0.01	10%	1 May →
anubis	12–16	0.03	14%	25 Apr →
overpass	13–3	0.07	16%	23 Apr →
inferno	13–10	0.00	10%	22 Apr →
dust2	15–15	0.04	20%	20 Apr →
mirage	13–2	0.07	17%	20 Apr →
anubis	13–11	0.04	10%	6 Apr →
anubis	13–5	0.18	27%	3 Apr →
anubis	2–13	-0.07	14%	3 Apr →
mirage	7–13	-0.05	17%	3 Apr →
mirage	13–4	0.12	13%	27 Mar →
ancient	7–13	0.02	16%	25 Mar →
anubis	13–0	0.08	23%	25 Mar →
mirage	4–13	-0.04	10%	25 Mar →
mirage	13–11	-0.01	10%	22 Mar →
ancient	13–6	0.00	18%	18 Mar →
ancient	16–14	-0.02	13%	12 Mar →
anubis	7–13	0.02	16%	12 Mar →
dust2	13–3	0.01	23%	6 Mar →
anubis	13–8	-0.01	10%	6 Mar →
overpass	10–13	-0.01	21%	6 Mar →
nuke	13–6	0.03	16%	6 Mar →
inferno	13–5	0.08	24%	6 Mar →
mirage	13–10	0.16	24%	2 Mar →
inferno	13–9	0.06	19%	1 Mar →
inferno	8–13	0.07	16%	1 Mar →
anubis	3–13	0.09	15%	1 Mar →
dust2	10–11	-0.02	14%	1 Mar →
overpass	13–3	0.05	20%	1 Mar →
dust2	11–13	0.04	12%	25 Feb →
inferno	13–10	0.08	19%	25 Feb →
ancient	16–14	0.02	14%	17 Feb →
dust2	13–10	0.02	8%	13 Feb →
ancient	12–16	-0.05	15%	9 Feb →
inferno	9–13	-0.03	14%	9 Feb →
inferno	10–13	0.02	17%	9 Feb →
inferno	13–10	-0.01	19%	30 Jan →
dust2	13–8	0.02	17%	30 Jan →
train	13–1	0.05	51%	30 Jan →
inferno	10–13	-0.06	18%	27 Jan →
overpass	8–13	0.06	17%	16 Jan →
overpass	13–4	0.07	11%	3 Aug →
ancient	13–11	0.01	20%	4 Jul →
train	13–11	0.01	22%	6 Jun →
ancient	10–13	0.01	28%	20 May →
mirage	4–13	-0.04	20%	16 Oct →
inferno	4–13	-0.06	26%	22 Sept →
anubis	3–13	-0.03	30%	22 Sept →
inferno	13–11	0.08	21%	15 Mar →
vertigo	13–7	0.09	18%	13 Dec →
vertigo	7–13	0.03	21%	13 Dec →
inferno	11–13	-0.00	22%	13 Dec →
overpass	13–3	0.19	21%	13 Dec →
mirage	10–13	0.01	19%	27 Nov →
vertigo	13–7	-0.01	10%	27 Nov →
inferno	16–8	-0.00	17%	6 Apr →
ancient	4–16	0.00	4%	28 Aug →