Ɲ9gєɳ — CS2 Stats

76561198146922272[U:1:186656544]Steam profile ↗✓ No bans

1,172Tracked matches33%Win rate2020Tracked since

CSDB Rating3.2 Learning

Premier CS Rating10,546Blue band · top ~52% of ranked players (population est.)

CSDB Leaderboard#24635 of 34313 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning39

Utility52

0–100 skill scores via Leetify.

Recent form

COLD43–56–1Last 10043%Win rateLLWWWLLLLL

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

Player DNA

Aim4.2

Aggression3.6

Utility5.2

Positioning3.9

Opening Duels0.0

Clutch1.8

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 77% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower aim 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

Reaction time. 751ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2

Positioning3.9

Utility5.2

Mechanics3.8

Opening Duels0.3

Win Impact0.0

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time748ms+17ms

first ⅓ avg 731ms → last ⅓ avg 748ms

Headshot accuracy25.9%−1.1%

first ⅓ avg 27.1% → last ⅓ avg 25.9%

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

0.12Best rating — dust2 13–5

13–1Biggest win — dust2

5Longest win streak

L2Current streak

8–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 60% over 10mirageWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	13–18	42%	-0.01
inferno	B	17	8–9	47%	-0.03
nuke	C	16	6–10	38%	-0.03
mirage	D	11	3–8	27%	-0.02
cache	A	10	6–4	60%	0.02
anubis	C	9	4–5	44%	-0.03
ancient	C	5	2–3	40%	-0.02
overpass	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

276Matches

50%Win rate

1.15Avg K/D

74.3ADR

43%Headshot %

Clutches & streaks

29%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	8	38%	0.90	11.6
Mirage	6	50%	1.32	11.3
Inferno	3	33%	0.84	17.7
Anubis	3	33%	0.65	13.3
Nuke	2	50%	0.90	19.0
Ancient	2	50%	1.38	22.0

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.

26.9%Headshot accuracy

29.9%Accuracy (enemy spotted)

33.9%Spray accuracy

67.3%Counter-strafing

11.1°Preaim

751msReaction time

26.2%T opening success

32.5%CT opening success

0.71Enemies flashed / flash

2.9%Flash assists

11.34HE damage / grenade

7.75Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 751.4506ms — above the 700ms 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 26.2312% — 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.

27% 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
dust2	12–16	0.03	32%	28 Aug →
nuke	12–16	-0.04	16%	28 Aug →
ancient	13–11	-0.05	24%	28 Aug →
dust2	13–9	-0.03	34%	28 Aug →
cache	13–6	0.12	39%	28 Aug →
nuke	6–13	-0.05	18%	27 Aug →
mirage	10–13	0.01	29%	27 Aug →
ancient	8–13	-0.07	32%	27 Aug →
nuke	4–13	-0.06	43%	27 Aug →
cache	11–13	0.05	22%	27 Aug →
nuke	11–13	-0.00	41%	27 Aug →
dust2	13–8	0.06	32%	27 Aug →
inferno	9–13	-0.10	25%	27 Aug →
dust2	11–13	-0.01	43%	27 Aug →
nuke	13–8	-0.03	22%	21 Aug →
anubis	6–13	-0.11	28%	19 Aug →
anubis	6–13	-0.06	35%	17 Aug →
nuke	8–13	-0.00	33%	17 Aug →
dust2	7–13	-0.05	14%	17 Aug →
anubis	5–13	0.02	30%	17 Aug →
nuke	13–8	-0.01	13%	16 Aug →
inferno	7–13	-0.04	6%	16 Aug →
nuke	3–13	-0.10	17%	16 Aug →
mirage	11–13	0.02	19%	14 Aug →
dust2	13–7	-0.07	21%	14 Aug →
ancient	11–13	0.01	40%	14 Aug →
inferno	4–13	-0.03	33%	14 Aug →
cache	13–4	0.05	17%	14 Aug →
inferno	13–6	0.06	27%	14 Aug →
dust2	13–5	0.12	20%	14 Aug →
dust2	13–7	-0.01	21%	14 Aug →
nuke	13–11	-0.02	13%	14 Aug →
inferno	15–15	0.01	19%	14 Aug →
cache	13–9	0.01	26%	13 Aug →
nuke	4–13	-0.00	18%	13 Aug →
anubis	7–13	-0.08	31%	13 Aug →
inferno	13–11	0.01	16%	13 Aug →
anubis	10–13	-0.03	32%	12 Aug →
ancient	13–11	0.02	25%	12 Aug →
dust2	11–13	-0.02	25%	12 Aug →
dust2	10–13	0.03	36%	12 Aug →
dust2	13–10	0.01	23%	12 Aug →
dust2	11–13	-0.03	18%	12 Aug →
cache	13–4	0.02	26%	11 Aug →
anubis	13–5	0.05	26%	11 Aug →
dust2	13–3	-0.01	18%	9 Aug →
mirage	9–13	-0.04	32%	9 Aug →
cache	13–6	0.06	30%	8 Aug →
dust2	4–13	0.00	25%	7 Aug →
mirage	16–14	-0.03	18%	6 Aug →
dust2	13–1	-0.01	13%	6 Aug →
inferno	3–13	0.01	20%	6 Aug →
anubis	13–3	-0.01	19%	6 Aug →
dust2	5–13	-0.06	24%	6 Aug →
dust2	14–16	-0.01	26%	6 Aug →
ancient	8–13	-0.00	14%	6 Aug →
inferno	11–13	0.01	31%	6 Aug →
dust2	13–7	-0.01	22%	6 Aug →
dust2	13–8	0.01	37%	6 Aug →
anubis	13–3	-0.02	36%	6 Aug →
nuke	13–3	-0.04	30%	6 Aug →
mirage	8–13	-0.04	12%	6 Aug →
dust2	6–13	-0.03	35%	5 Aug →
mirage	16–14	-0.03	44%	5 Aug →
cache	6–13	-0.04	46%	5 Aug →
cache	13–11	-0.03	28%	5 Aug →
dust2	9–13	0.05	36%	5 Aug →
nuke	13–9	-0.01	28%	5 Aug →
nuke	7–13	-0.07	48%	5 Aug →
mirage	13–5	-0.05	25%	5 Aug →
mirage	4–13	-0.02	16%	5 Aug →
cache	5–13	-0.07	45%	4 Aug →
inferno	10–13	-0.04	36%	4 Aug →
dust2	2–9	0.02	40%	2 Aug →
inferno	13–9	-0.02	24%	2 Aug →
dust2	11–13	-0.02	26%	1 Aug →
cache	10–13	0.02	24%	1 Aug →
dust2	7–13	-0.03	30%	1 Aug →
dust2	13–8	-0.07	31%	1 Aug →
inferno	8–13	-0.06	15%	1 Aug →
mirage	11–13	-0.07	13%	31 Jul →
dust2	10–13	-0.04	18%	31 Jul →
dust2	13–2	-0.05	33%	26 Jul →
inferno	13–10	-0.03	25%	26 Jul →
dust2	3–13	-0.07	33%	26 Jul →
dust2	7–13	0.01	35%	23 Jul →
nuke	13–6	-0.00	17%	23 Jul →
mirage	10–13	0.04	19%	23 Jul →
mirage	11–13	-0.00	37%	20 Jul →
inferno	13–3	0.03	28%	20 Jul →
nuke	9–13	-0.00	26%	20 Jul →
inferno	16–13	-0.05	22%	19 Jul →
inferno	16–13	-0.03	31%	17 Jul →
dust2	6–13	-0.08	17%	17 Jul →
inferno	9–7	-0.07	38%	17 Jul →
inferno	6–13	-0.09	21%	14 Jul →
anubis	13–6	-0.01	38%	14 Jul →
overpass	9–6	-0.01	20%	11 Jul →
dust2	13–8	-0.01	13%	11 Jul →
nuke	7–13	-0.07	20%	7 Jul →