Möksy — CS2 Stats

FI76561198298969688[U:1:338703960]Steam profile ↗✓ No bans

623Tracked matches57%Win rate2020Tracked since

CSDB Rating4.8 DevelopingPassive Rifler

Premier CS Rating16,673Purple band · top ~21.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning32

Utility20

0–100 skill scores via Leetify.

Recent form

HOT45–49–6Last 10045%Win rateLWWWWWLWWW

Last 10 vs previous 10: +60pp win rate · +0.02 avg rating

Player DNA

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

Aim6.6

Aggression4.2

Utility2.0

Positioning3.2

Opening Duels0.3

Clutch0.6

Limited 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 NiKo 76% playstyle similarity

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

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 35 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.

Reaction time. 624ms 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

Aim6.6

Positioning3.2

Utility2.0

Mechanics7.2

Opening Duels0.3

Win Impact7.2

Composite 4.8/10 (Developing), 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 rating-0.05+0.01

first ⅓ avg -0.05 → last ⅓ avg -0.05

Reaction time625ms−4ms

first ⅓ avg 629ms → last ⅓ avg 625ms

Headshot accuracy20.1%+4.5%

first ⅓ avg 15.6% → last ⅓ avg 20.1%

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

0.08Best rating — inferno 6–9

13–2Biggest win — mirage

5Longest win streak

7–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 88% over 8nukeWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	25	15–10	60%	-0.04
mirage	C	20	7–13	35%	-0.07
ancient	D	17	5–12	29%	-0.05
nuke	D	11	2–9	18%	-0.06
anubis	S	8	7–1	88%	-0.05
inferno	C	8	3–5	38%	-0.02
dust2	C	7	3–4	43%	-0.05
overpass	—	4	3–1	75%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

71Matches

51%Win rate

0.60Avg K/D

53.9ADR

49%Headshot %

Clutches & streaks

23%1v1 clutch win

12%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	62%	0.68	11.4
Ancient	12	33%	0.50	9.3
Anubis	10	80%	0.69	11.4
Nuke	8	50%	0.43	8.5
Inferno	7	29%	0.51	8.0
Dust2	6	17%	0.58	10.3
Overpass	3	67%	0.36	5.7
Vertigo	1	100%	0.57	16.0

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.

20.1%Headshot accuracy

29.3%Accuracy (enemy spotted)

30.6%Spray accuracy

82.3%Counter-strafing

7.2°Preaim

624msReaction time

32.2%T opening success

30.0%CT opening success

0.43Enemies flashed / flash

0.0%Flash assists

5.13HE damage / grenade

0.82Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4253 — below the 0.5 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 32.2134% — below the 40% mark we flag

Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	5–13	-0.11	20%	19 Aug →
anubis	13–10	-0.10	24%	19 Aug →
anubis	13–11	-0.05	36%	17 Aug →
ancient	13–5	-0.07	18%	17 Aug →
cache	13–5	0.05	22%	17 Aug →
nuke	16–14	-0.08	28%	17 Aug →
inferno	6–9	0.08	7%	6 Aug →
ancient	13–8	-0.03	22%	3 Aug →
mirage	13–3	-0.04	20%	31 Jul →
dust2	13–8	-0.04	20%	29 Jul →
nuke	14–16	-0.04	18%	27 Jul →
mirage	9–13	-0.07	19%	27 Jul →
cache	11–13	-0.04	22%	27 Jul →
mirage	8–13	-0.10	16%	27 Jul →
dust2	10–13	-0.04	5%	26 Jul →
ancient	10–13	-0.06	24%	26 Jul →
dust2	13–8	-0.04	18%	23 Jul →
inferno	13–16	-0.07	16%	23 Jul →
ancient	8–13	-0.09	15%	22 Jul →
cache	13–10	-0.03	20%	22 Jul →
cache	13–7	-0.03	20%	22 Jul →
inferno	13–9	-0.04	19%	22 Jul →
mirage	13–8	-0.09	9%	22 Jul →
mirage	7–13	-0.02	20%	19 Jul →
ancient	13–11	-0.04	18%	18 Jul →
nuke	3–13	-0.06	30%	18 Jul →
anubis	13–10	-0.07	27%	16 Jul →
ancient	11–13	-0.09	9%	16 Jul →
mirage	13–2	-0.03	24%	16 Jul →
cache	13–10	-0.05	17%	16 Jul →
nuke	8–13	-0.01	30%	16 Jul →
nuke	7–13	-0.06	30%	16 Jul →
overpass	13–10	0.02	24%	13 Jun →
anubis	13–6	0.01	18%	13 Jun →
mirage	11–13	-0.07	27%	13 Jun →
cache	13–11	-0.02	10%	13 Jun →
ancient	5–13	-0.01	16%	4 Jun →
cache	13–9	-0.01	23%	4 Jun →
mirage	9–13	-0.08	24%	4 Jun →
nuke	8–13	-0.09	21%	4 Jun →
mirage	5–13	-0.09	39%	3 Jun →
cache	13–6	0.00	17%	3 Jun →
inferno	9–13	-0.07	15%	3 Jun →
mirage	10–13	-0.05	24%	3 Jun →
nuke	4–13	-0.11	5%	30 May →
dust2	11–13	-0.09	20%	30 May →
inferno	13–6	0.06	21%	30 May →
ancient	13–10	-0.07	29%	30 May →
cache	13–11	-0.04	34%	30 May →
cache	13–5	-0.04	21%	25 May →
ancient	5–13	-0.01	25%	25 May →
cache	12–12	-0.01	24%	24 May →
cache	12–12	-0.06	15%	22 May →
mirage	0–13	-0.10	4%	20 May →
ancient	12–12	-0.05	18%	20 May →
ancient	6–13	-0.03	6%	18 May →
mirage	12–12	-0.07	15%	18 May →
cache	13–6	-0.00	22%	18 May →
cache	10–13	-0.06	15%	18 May →
cache	12–12	-0.05	19%	18 May →
cache	11–13	-0.05	27%	18 May →
anubis	16–12	-0.06	15%	15 May →
nuke	4–13	0.01	31%	15 May →
overpass	13–6	-0.02	15%	15 May →
anubis	9–13	-0.04	17%	15 May →
dust2	3–13	-0.09	29%	15 May →
ancient	5–13	-0.05	28%	13 May →
nuke	4–13	-0.06	25%	13 May →
cache	13–10	-0.05	17%	4 May →
cache	13–10	-0.04	14%	4 May →
cache	12–12	-0.07	15%	30 Apr →
inferno	10–13	-0.02	14%	30 Apr →
mirage	6–13	-0.13	8%	30 Apr →
cache	7–13	-0.10	12%	30 Apr →
cache	11–13	-0.06	9%	30 Apr →
cache	13–4	-0.04	12%	30 Apr →
cache	13–6	-0.03	23%	30 Apr →
cache	13–8	-0.08	22%	29 Apr →
cache	10–13	-0.06	14%	29 Apr →
inferno	13–4	-0.02	19%	27 Apr →
mirage	13–7	-0.05	9%	27 Apr →
ancient	11–13	-0.02	17%	27 Apr →
ancient	4–13	-0.10	0%	23 Apr →
mirage	8–13	-0.08	2%	23 Apr →
ancient	2–13	-0.04	39%	23 Apr →
mirage	11–13	-0.08	12%	23 Apr →
mirage	16–14	-0.06	19%	23 Apr →
anubis	16–12	-0.07	10%	23 Apr →
nuke	13–11	-0.03	15%	21 Apr →
mirage	8–13	-0.08	18%	21 Apr →
overpass	10–13	-0.08	27%	15 Apr →
ancient	11–13	-0.05	30%	15 Apr →
mirage	13–6	0.00	19%	10 Apr →
dust2	8–13	-0.08	12%	10 Apr →
anubis	13–7	-0.03	9%	29 Mar →
mirage	16–13	-0.06	22%	29 Mar →
dust2	13–8	0.03	24%	29 Mar →
inferno	6–13	-0.08	9%	27 Mar →
ancient	13–7	-0.01	12%	27 Mar →
overpass	13–10	-0.06	8%	27 Mar →