NoXito — CS2 Stats

IS76561198302356719[U:1:342090991]Steam profile ↗

578Tracked matches59%Win rate2020Tracked since

CSDB Rating5.4 DevelopingAggressive Rifler

FaceitLevel 6 · 1,324 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning56

Utility28

0–100 skill scores via Leetify.

Recent form

HOT44–47–9Last 10044%Win rateWWWLLWWWWL

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.

Aim7.8

Aggression6.7

Utility2.8

Positioning5.6

Opening Duels3.0

Clutch3.4

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 b1t 87% playstyle similarity

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

Where you differ: lower aim 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 569ms 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

Aim7.8

Positioning5.6

Utility2.8

Mechanics6.6

Opening Duels3.0

Win Impact7.9

Composite 5.4/10 (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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time570ms−59ms

first ⅓ avg 629ms → last ⅓ avg 570ms

Headshot accuracy19.4%−1.6%

first ⅓ avg 21.0% → last ⅓ avg 19.4%

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

0.22Best rating — cache 13–4

13–1Biggest win — dust2

5Longest win streak

W3Current streak

3–6In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 52% over 23infernoWeakest map · 40% over 25

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	25	10–15	40%	0.03
mirage	B	23	12–11	52%	0.05
dust2	C	22	9–13	41%	0.03
cache	B	22	10–12	45%	0.04
office	C	5	2–3	40%	0.01
anubis	—	1	0–1	0%	0.02
train	—	1	1–0	100%	0.06
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

586Matches

53%Win rate

1.25Avg K/D

87.2ADR

44%Headshot %

Clutches & streaks

37%1v1 clutch win

30%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	22	73%	1.46	16.9
Dust2	21	52%	1.31	16.4
Mirage	19	32%	1.26	16.5
Anubis	18	33%	1.26	18.6
Ancient	10	40%	1.49	17.8
Nuke	8	62%	1.44	21.8
Train	2	50%	0.92	15.0
Overpass	1	100%	2.20	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.

18.8%Headshot accuracy

37.4%Accuracy (enemy spotted)

37.8%Spray accuracy

79.8%Counter-strafing

9.2°Preaim

569msReaction time

40.8%T opening success

43.2%CT opening success

0.28Enemies flashed / flash

3.9%Flash assists

12.09HE damage / grenade

1.47Flashes / 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 0.2761 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–6	0.08	19%	18 Aug →
dust2	13–10	-0.04	23%	18 Aug →
mirage	13–7	0.00	28%	17 Aug →
anubis	6–13	0.02	20%	16 Aug →
cache	8–13	0.06	13%	16 Aug →
inferno	13–7	0.03	25%	16 Aug →
inferno	13–8	0.02	13%	16 Aug →
dust2	13–2	0.11	14%	16 Aug →
mirage	13–9	0.09	11%	16 Aug →
inferno	0–4	0.09	36%	16 Aug →
inferno	13–7	0.08	18%	15 Aug →
dust2	10–13	0.03	22%	15 Aug →
mirage	13–7	-0.01	11%	12 Aug →
mirage	11–13	0.04	16%	12 Aug →
inferno	13–10	-0.00	20%	12 Aug →
inferno	13–9	0.07	27%	8 Aug →
dust2	0–7	-0.03	33%	8 Aug →
cache	10–13	0.06	17%	8 Aug →
cache	13–3	0.04	5%	5 Aug →
inferno	13–7	0.12	13%	3 Aug →
inferno	4–13	-0.09	15%	25 Jul →
mirage	10–12	0.13	26%	23 Jul →
mirage	10–13	-0.04	7%	22 Jul →
inferno	13–7	-0.02	17%	21 Jul →
inferno	13–5	0.11	20%	18 Jul →
mirage	13–8	0.05	30%	14 Jul →
dust2	4–13	0.11	16%	14 Jul →
mirage	13–2	0.08	20%	11 Jul →
mirage	2–13	0.06	28%	11 Jul →
cache	12–12	0.03	23%	4 Jul →
cache	13–11	0.06	21%	28 Jun →
cache	0–8	-0.03	14%	22 Jun →
dust2	6–13	-0.05	17%	21 Jun →
inferno	6–13	-0.07	18%	21 Jun →
cache	5–13	-0.01	17%	21 Jun →
cache	7–13	-0.02	23%	20 Jun →
inferno	6–13	0.03	21%	20 Jun →
office	10–13	0.11	26%	20 Jun →
cache	13–7	0.19	25%	20 Jun →
cache	12–12	0.04	13%	17 Jun →
inferno	11–13	0.02	16%	17 Jun →
cache	11–13	-0.00	22%	15 Jun →
mirage	13–7	0.04	25%	12 Jun →
inferno	0–6	0.02	100%	10 Jun →
mirage	13–6	0.14	20%	3 Jun →
dust2	7–13	0.09	17%	2 Jun →
mirage	13–2	0.18	20%	2 Jun →
inferno	10–13	0.01	21%	31 May →
cache	9–13	0.03	9%	28 May →
cache	13–7	0.03	14%	28 May →
inferno	5–13	-0.04	19%	28 May →
cache	13–4	0.22	33%	27 May →
cache	12–12	-0.01	15%	23 May →
cache	13–7	0.04	23%	12 May →
train	13–4	0.06	25%	7 May →
cache	13–7	-0.01	12%	7 May →
cache	7–13	-0.05	21%	7 May →
cache	13–9	0.09	32%	6 May →
cache	12–12	0.12	22%	5 May →
cache	13–5	-0.02	25%	5 May →
inferno	1–5	0.17	22%	1 May →
cache	13–3	0.07	24%	1 May →
mirage	11–13	0.02	20%	23 Apr →
dust2	11–13	0.07	24%	23 Apr →
inferno	3–13	-0.05	9%	18 Apr →
dust2	8–13	0.11	31%	16 Apr →
mirage	5–13	0.01	16%	14 Apr →
inferno	13–6	0.04	44%	12 Apr →
mirage	13–9	0.11	18%	10 Apr →
inferno	10–13	0.06	14%	10 Apr →
mirage	13–5	0.14	23%	10 Apr →
inferno	0–6	-0.01	36%	9 Apr →
mirage	9–13	-0.01	26%	9 Apr →
dust2	9–13	-0.08	15%	9 Apr →
dust2	13–8	0.04	18%	2 Apr →
office	9–13	-0.08	17%	31 Mar →
dust2	12–12	-0.03	19%	31 Mar →
overpass	1–7	0.05	25%	30 Mar →
dust2	4–13	0.06	32%	30 Mar →
dust2	1–8	-0.01	36%	30 Mar →
dust2	3–13	0.02	23%	30 Mar →
dust2	12–12	0.02	12%	27 Mar →
dust2	13–9	0.05	14%	27 Mar →
inferno	9–13	0.04	18%	27 Mar →
office	0–13	-0.07	14%	25 Mar →
mirage	12–12	-0.05	26%	25 Mar →
inferno	5–13	-0.05	11%	25 Mar →
mirage	3–13	0.06	23%	24 Mar →
mirage	12–12	0.10	24%	21 Mar →
inferno	12–12	0.08	11%	21 Mar →
office	13–6	0.08	25%	19 Mar →
dust2	13–11	0.04	18%	19 Mar →
inferno	13–8	0.01	10%	19 Mar →
dust2	13–11	0.04	20%	18 Mar →
office	13–2	0.04	12%	18 Mar →
mirage	3–13	-0.02	16%	17 Mar →
dust2	13–1	0.11	30%	13 Mar →
dust2	13–6	0.02	16%	13 Mar →
dust2	13–8	0.01	20%	12 Mar →
mirage	13–9	0.04	26%	12 Mar →