Moustache man — CS2 Stats

FR76561198288145666[U:1:327879938]Steam profile ↗

1,388Tracked matches48%Win rate2020Tracked since

CSDB Rating5.0 DevelopingAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim81

Positioning50

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateLLTWWTLLWW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

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

Aim8.1

Aggression7.9

Utility4.7

Positioning5.0

Opening Duels3.1

Clutch3.4

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 b1t 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower 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

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim8.1

Positioning5.0

Utility4.7

Mechanics4.7

Opening Duels3.1

Win Impact4.3

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time578ms−26ms

first ⅓ avg 604ms → last ⅓ avg 578ms

Headshot accuracy16.2%+1.0%

first ⅓ avg 15.2% → last ⅓ avg 16.2%

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

0.19Best rating — cache 13–6

13–3Biggest win — train

5Longest win streak

L2Current streak

3–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

vertigoBest map · 71% over 7mirageWeakest map · 9% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	18	12–6	67%	0.03
nuke	B	14	7–7	50%	0.02
mirage	D	11	1–10	9%	-0.03
cache	B	10	5–5	50%	0.02
vertigo	S	7	5–2	71%	0.01
train	D	7	2–5	29%	0.03
inferno	B	6	3–3	50%	0.04
ancient	D	6	2–4	33%	0.02
overpass	D	6	1–5	17%	-0.03
anubis	—	4	2–2	50%	-0.00
boulder	—	3	2–1	67%	0.00
fachwerk	—	3	2–1	67%	-0.02
office	—	3	1–2	33%	0.02
italy	—	1	0–1	0%	-0.10
eldorado	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

46Matches

65%Win rate

1.06Avg K/D

81.0ADR

38%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	71%	0.94	12.1
Inferno	6	83%	1.00	17.7
Anubis	5	40%	1.04	17.8
Nuke	5	80%	0.97	13.2
Cache	5	60%	1.30	15.4
Ancient	4	50%	1.08	19.8
Overpass	2	100%	1.17	19.0
Mirage	1	100%	2.33	14.0

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.

15.1%Headshot accuracy

41.9%Accuracy (enemy spotted)

45.4%Spray accuracy

71.2%Counter-strafing

8.5°Preaim

568msReaction time

30.9%T opening success

53.8%CT opening success

0.57Enemies flashed / flash

8.6%Flash assists

5.69HE damage / grenade

5.26Flashes / 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 30.9233% — below the 40% mark we flag

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.

9% win rate across 11 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
cache	7–13	0.03	20%	24 Aug →
nuke	6–13	0.00	11%	23 Aug →
inferno	12–12	-0.01	9%	23 Aug →
boulder	13–6	-0.05	9%	23 Aug →
vertigo	13–6	0.14	20%	22 Aug →
train	12–12	-0.02	8%	22 Aug →
nuke	2–7	-0.02	33%	22 Aug →
cache	8–11	-0.03	6%	22 Aug →
nuke	10–3	-0.03	15%	22 Aug →
nuke	13–7	0.01	15%	22 Aug →
mirage	15–15	-0.02	9%	22 Aug →
dust2	13–11	0.06	11%	20 Aug →
nuke	4–13	0.06	15%	13 Aug →
boulder	12–12	-0.01	22%	13 Aug →
boulder	13–5	0.07	23%	13 Aug →
italy	6–13	-0.10	8%	13 Aug →
fachwerk	13–10	0.00	16%	13 Aug →
nuke	13–10	0.03	7%	12 Aug →
dust2	13–7	0.00	35%	12 Aug →
nuke	4–13	-0.01	17%	11 Aug →
inferno	5–2	0.07	33%	11 Aug →
fachwerk	0–8	-0.03	11%	11 Aug →
nuke	10–13	-0.03	12%	9 Aug →
inferno	13–7	0.10	9%	9 Aug →
cache	10–13	-0.03	17%	9 Aug →
dust2	10–13	-0.01	16%	8 Aug →
mirage	12–12	-0.02	17%	7 Aug →
eldorado	6–9	-0.11	13%	7 Aug →
mirage	6–13	-0.06	19%	7 Aug →
vertigo	13–8	0.03	15%	6 Aug →
mirage	7–9	0.09	20%	5 Aug →
office	13–10	0.07	16%	5 Aug →
office	10–13	-0.01	27%	4 Aug →
ancient	13–11	-0.01	14%	4 Aug →
mirage	4–13	-0.04	15%	4 Aug →
ancient	9–13	-0.04	13%	3 Aug →
fachwerk	13–6	-0.02	10%	3 Aug →
overpass	13–6	-0.01	18%	3 Aug →
mirage	9–13	-0.04	13%	3 Aug →
mirage	8–13	0.01	5%	2 Aug →
overpass	8–13	-0.08	18%	1 Aug →
train	13–3	0.07	11%	1 Aug →
overpass	11–13	-0.04	11%	30 Jul →
mirage	3–13	-0.08	22%	30 Jul →
ancient	9–13	0.00	19%	30 Jul →
vertigo	1–13	-0.09	17%	30 Jul →
vertigo	13–3	0.08	20%	30 Jul →
train	4–13	-0.02	14%	28 Jul →
vertigo	12–2	-0.06	67%	28 Jul →
mirage	1–13	-0.08	21%	28 Jul →
anubis	13–9	-0.07	8%	22 Jul →
anubis	10–13	-0.02	10%	21 Jul →
mirage	5–13	-0.09	19%	21 Jul →
vertigo	4–13	-0.01	9%	21 Jul →
train	8–13	0.07	22%	21 Jul →
cache	13–4	0.03	45%	20 Jul →
inferno	12–12	-0.00	10%	20 Jul →
nuke	13–9	0.09	5%	19 Jul →
dust2	13–5	-0.01	7%	19 Jul →
anubis	13–8	0.11	14%	7 Jul →
dust2	13–8	-0.01	33%	7 Jul →
cache	7–1	0.02	33%	7 Jul →
ancient	9–13	0.04	21%	6 Jul →
inferno	13–6	0.08	13%	6 Jul →
nuke	13–6	0.02	9%	6 Jul →
dust2	14–16	-0.00	9%	6 Jul →
ancient	5–13	-0.01	4%	5 Jul →
dust2	7–13	-0.02	22%	5 Jul →
cache	13–7	-0.02	15%	5 Jul →
cache	11–13	0.04	16%	4 Jul →
nuke	13–8	0.04	11%	3 Jul →
ancient	13–8	0.12	15%	3 Jul →
inferno	9–13	0.03	15%	3 Jul →
cache	13–4	-0.01	17%	2 Jul →
dust2	16–13	0.14	17%	2 Jul →
dust2	9–13	0.05	13%	2 Jul →
overpass	2–10	-0.07	7%	28 Jun →
nuke	7–13	0.00	6%	28 Jun →
dust2	2–13	0.02	24%	25 Jun →
dust2	13–8	0.02	14%	24 Jun →
anubis	5–13	-0.04	6%	24 Jun →
cache	13–6	0.19	15%	23 Jun →
train	12–12	0.09	25%	23 Jun →
dust2	13–7	-0.01	14%	23 Jun →
overpass	6–13	-0.04	14%	22 Jun →
dust2	7–13	0.04	10%	22 Jun →
cache	8–13	0.03	13%	22 Jun →
train	13–11	0.07	13%	22 Jun →
nuke	2–13	0.01	6%	22 Jun →
dust2	13–6	0.06	22%	22 Jun →
dust2	13–10	0.05	19%	21 Jun →
office	7–13	-0.00	19%	21 Jun →
vertigo	13–8	0.00	11%	21 Jun →
dust2	13–7	0.01	17%	14 Jun →
train	7–13	-0.04	11%	14 Jun →
nuke	13–3	0.18	24%	14 Jun →
dust2	13–4	0.07	24%	14 Jun →
overpass	10–13	0.04	23%	14 Jun →
dust2	13–4	0.02	9%	13 Jun →
mirage	13–8	0.01	16%	13 Jun →