Musti — CS2 Stats

76561198182210647[U:1:221944919]

5,153Tracked matches62%Win rate2020Tracked since

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating29,999Top 1% of 819 CSDB-tracked playersRed band · top ~0.6% of ranked players (population est.)

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning65

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY59–39–2Last 10059%Win rateWLLLWWWLWL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

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

Aim9.4

Aggression9.4

Utility4.0

Positioning6.5

Opening Duels4.9

Clutch4.6

Sharp aimerStrong CT-side openerLimited utility dependence

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 donk 92% playstyle similarity

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

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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

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 60% on CT to 40% 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

Aim9.4

Positioning6.5

Utility4.0

Mechanics8.0

Opening Duels4.9

Win Impact9.0

Composite 7.7/10 (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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time533ms−29ms

first ⅓ avg 562ms → last ⅓ avg 533ms

Headshot accuracy25.1%−2.0%

first ⅓ avg 27.1% → last ⅓ avg 25.1%

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 — dust2 13–3

13–0Biggest win — train

9Longest win streak

6–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 100% over 5mirageWeakest map · 50% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	43	22–21	51%	0.02
cache	A	19	11–8	58%	0.03
ancient	A	11	7–4	64%	0.00
mirage	B	8	4–4	50%	-0.01
anubis	A	5	3–2	60%	0.00
inferno	S	5	5–0	100%	0.04
vertigo	—	2	1–1	50%	0.01
nuke	—	2	1–1	50%	-0.05
train	—	1	1–0	100%	0.02
fachwerk	—	1	1–0	100%	0.05
eldorado	—	1	1–0	100%	0.05
overpass	—	1	1–0	100%	-0.07
boulder	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,922Matches

57%Win rate

1.34Avg K/D

87.2ADR

53%Headshot %

Clutches & streaks

43%1v1 clutch win

25%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	252	63%	1.31	18.6
Anubis	174	55%	1.18	17.0
Ancient	103	50%	1.13	17.3
Inferno	29	48%	1.05	16.6
Nuke	26	54%	1.03	17.1
Cache	23	57%	1.30	16.9
Overpass	23	57%	1.17	17.5
Vertigo	18	22%	0.94	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.

25.8%Headshot accuracy

39.9%Accuracy (enemy spotted)

45.7%Spray accuracy

86.0%Counter-strafing

8.9°Preaim

525msReaction time

39.7%T opening success

59.8%CT opening success

0.57Enemies flashed / flash

7.4%Flash assists

6.04HE damage / grenade

2.72Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7153 — below the 4 mark we flag
Grenade Lineups →
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 39.7023% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
cache	13–6	0.07	38%	28 Aug →
cache	7–13	0.08	25%	27 Aug →
ancient	5–13	-0.04	20%	27 Aug →
dust2	6–13	-0.03	42%	27 Aug →
cache	13–9	0.01	25%	26 Aug →
dust2	13–11	-0.02	13%	26 Aug →
dust2	13–1	0.06	15%	26 Aug →
cache	0–4	-0.06	0%	26 Aug →
train	13–0	0.02	33%	25 Aug →
vertigo	10–13	0.04	21%	25 Aug →
anubis	13–11	-0.00	21%	24 Aug →
nuke	13–3	0.02	35%	24 Aug →
dust2	11–13	-0.02	33%	24 Aug →
mirage	6–5	-0.00	8%	24 Aug →
cache	13–3	0.09	36%	24 Aug →
ancient	13–9	0.02	17%	24 Aug →
cache	0–2	-0.08	0%	24 Aug →
mirage	7–13	-0.06	35%	23 Aug →
cache	13–7	0.07	30%	23 Aug →
dust2	13–6	0.09	45%	20 Aug →
fachwerk	13–10	0.05	30%	19 Aug →
dust2	13–6	0.02	18%	19 Aug →
dust2	12–12	-0.03	27%	15 Aug →
dust2	6–13	0.03	24%	15 Aug →
dust2	13–0	0.05	33%	15 Aug →
dust2	13–2	0.05	30%	15 Aug →
inferno	13–1	-0.06	20%	15 Aug →
dust2	13–16	-0.04	16%	15 Aug →
dust2	10–13	0.02	29%	14 Aug →
cache	13–6	-0.01	14%	14 Aug →
dust2	13–9	0.07	36%	13 Aug →
ancient	13–4	0.05	24%	13 Aug →
dust2	13–1	0.01	34%	12 Aug →
dust2	13–6	0.07	24%	12 Aug →
eldorado	9–6	0.05	26%	12 Aug →
dust2	12–12	0.04	22%	9 Aug →
ancient	1–13	-0.08	29%	9 Aug →
inferno	13–5	0.11	30%	9 Aug →
overpass	3–0	-0.07	20%	9 Aug →
dust2	13–8	0.08	19%	8 Aug →
dust2	11–13	0.02	33%	6 Aug →
cache	13–8	0.03	31%	5 Aug →
dust2	13–6	0.03	23%	5 Aug →
dust2	0–13	-0.05	20%	5 Aug →
dust2	2–7	0.03	42%	5 Aug →
dust2	13–7	-0.03	21%	5 Aug →
dust2	9–13	0.01	12%	4 Aug →
cache	8–13	-0.05	23%	3 Aug →
mirage	13–5	0.11	26%	31 Jul →
dust2	1–13	-0.07	40%	30 Jul →
boulder	13–8	0.11	24%	30 Jul →
vertigo	13–8	-0.01	25%	29 Jul →
dust2	13–7	0.03	22%	29 Jul →
mirage	9–2	0.00	16%	29 Jul →
ancient	7–1	-0.05	22%	29 Jul →
cache	16–14	0.06	41%	29 Jul →
anubis	5–13	-0.08	20%	28 Jul →
mirage	13–4	-0.06	6%	28 Jul →
dust2	7–13	0.02	28%	28 Jul →
inferno	13–1	0.08	30%	28 Jul →
dust2	5–13	0.04	20%	28 Jul →
dust2	13–2	0.17	37%	28 Jul →
cache	13–1	0.13	23%	28 Jul →
dust2	13–3	0.24	26%	28 Jul →
mirage	4–13	-0.08	22%	28 Jul →
dust2	11–13	-0.02	18%	27 Jul →
dust2	8–13	0.10	37%	27 Jul →
dust2	0–13	-0.07	40%	27 Jul →
anubis	3–2	-0.08	25%	27 Jul →
dust2	13–3	-0.06	18%	27 Jul →
dust2	9–2	0.01	27%	27 Jul →
ancient	13–1	-0.03	75%	27 Jul →
ancient	13–4	0.04	22%	27 Jul →
anubis	13–6	0.07	34%	27 Jul →
dust2	13–7	0.03	39%	27 Jul →
ancient	13–7	0.07	20%	27 Jul →
cache	13–10	0.14	29%	27 Jul →
dust2	0–13	-0.02	0%	27 Jul →
dust2	3–13	-0.04	15%	27 Jul →
dust2	13–5	0.04	24%	27 Jul →
cache	7–13	-0.01	17%	27 Jul →
mirage	11–13	0.08	24%	27 Jul →
ancient	13–3	0.11	27%	27 Jul →
cache	13–9	0.04	24%	27 Jul →
inferno	16–14	0.03	22%	27 Jul →
mirage	0–13	-0.05	15%	27 Jul →
cache	4–13	-0.06	26%	26 Jul →
nuke	3–13	-0.12	11%	26 Jul →
dust2	13–4	-0.08	36%	26 Jul →
cache	13–3	0.11	28%	26 Jul →
inferno	13–6	0.03	28%	26 Jul →
ancient	11–13	-0.01	24%	26 Jul →
ancient	10–13	-0.06	17%	26 Jul →
dust2	13–5	0.05	31%	26 Jul →
dust2	10–13	0.10	20%	26 Jul →
anubis	0–2	0.09	100%	26 Jul →
cache	0–2	-0.02	0%	26 Jul →
dust2	2–13	-0.02	21%	26 Jul →
cache	0–9	-0.05	17%	26 Jul →
dust2	13–4	-0.04	38%	26 Jul →