N0R1- — CS2 Stats

76561198080604070[U:1:120338342]

3,128Tracked matches67%Win rate2020Tracked since

CSDB Rating7.6 StrongHybrid Rifler

FaceitLevel 10 · 2,840 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim95

Positioning62

Utility54

0–100 skill scores via Leetify.

Recent form

HOT57–41–2Last 10057%Win rateLWWWWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim9.5

Aggression6.0

Utility5.4

Positioning6.2

Opening Duels2.2

Clutch4.0

Sharp aimerExcellent counter-strafing

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 95% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 33 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.

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

Aim9.5

Positioning6.2

Utility5.4

Mechanics9.1

Opening Duels2.2

Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time535ms−13ms

first ⅓ avg 547ms → last ⅓ avg 535ms

Headshot accuracy27.3%−0.2%

first ⅓ avg 27.5% → last ⅓ avg 27.3%

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

0.23Best rating — mirage 13–6

13–2Biggest win — mirage

6Longest win streak

7–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 69% over 29ancientWeakest map · 45% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	29	20–9	69%	0.05
ancient	B	22	10–12	45%	0.01
dust2	A	20	11–9	55%	0.02
anubis	A	12	7–5	58%	0.00
nuke	B	8	4–4	50%	0.03
cache	—	3	2–1	67%	0.02
inferno	—	3	1–2	33%	0.03
overpass	—	2	1–1	50%	0.02
vertigo	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10,323Matches

62%Win rate

1.34Avg K/D

79.8ADR

58%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

23Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	645	58%	1.39	17.7
Ancient	392	52%	1.12	16.0
Anubis	272	50%	1.08	15.2
Dust2	249	57%	1.27	16.9
Nuke	122	52%	1.15	16.3
Vertigo	103	56%	1.20	17.1
Inferno	75	55%	1.27	17.3
Overpass	60	60%	1.24	15.4

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.

26.3%Headshot accuracy

39.4%Accuracy (enemy spotted)

44.8%Spray accuracy

91.0%Counter-strafing

8.5°Preaim

526msReaction time

41.8%T opening success

36.1%CT opening success

0.60Enemies flashed / flash

5.5%Flash assists

7.13HE damage / grenade

9.69Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.0949% — below the 40% mark we flag

Spend your practice time on Ancient

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

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	8–13	-0.02	24%	25 Aug →
mirage	13–11	-0.04	31%	25 Aug →
dust2	25–22	-0.01	19%	25 Aug →
cache	13–8	0.00	67%	24 Aug →
dust2	13–4	0.07	38%	22 Aug →
ancient	10–13	0.10	30%	21 Aug →
nuke	13–3	0.14	25%	20 Aug →
ancient	13–6	-0.00	26%	20 Aug →
mirage	16–13	-0.01	18%	9 Aug →
mirage	13–4	-0.02	26%	7 Aug →
anubis	13–11	-0.04	24%	6 Aug →
mirage	13–6	0.05	24%	6 Aug →
ancient	9–13	-0.04	31%	6 Aug →
cache	13–3	0.06	43%	21 Jul →
dust2	20–22	0.03	37%	20 Jul →
anubis	6–13	-0.03	9%	18 Jul →
ancient	13–10	0.08	13%	18 Jul →
dust2	14–16	-0.02	21%	18 Jul →
nuke	13–8	0.04	34%	18 Jul →
anubis	13–6	-0.01	17%	18 Jul →
ancient	16–14	0.01	15%	18 Jul →
nuke	7–13	-0.04	32%	18 Jul →
dust2	8–13	-0.01	20%	18 Jul →
mirage	13–4	0.03	45%	14 Jul →
ancient	6–3	0.10	24%	14 Jul →
cache	11–13	-0.01	28%	14 Jul →
dust2	13–8	-0.07	12%	14 Jul →
mirage	13–10	-0.04	15%	22 Jun →
ancient	8–13	-0.02	35%	14 Jun →
ancient	13–3	0.09	20%	10 Jun →
ancient	13–10	0.05	42%	29 May →
overpass	8–13	-0.02	24%	29 May →
nuke	10–13	-0.02	31%	29 May →
dust2	13–9	-0.03	23%	29 May →
dust2	16–13	0.01	31%	25 May →
nuke	13–5	-0.00	21%	25 May →
dust2	11–13	-0.05	22%	24 May →
anubis	10–13	-0.04	20%	23 May →
dust2	6–13	-0.08	35%	23 May →
inferno	13–9	-0.02	31%	16 May →
mirage	13–9	0.04	27%	11 May →
ancient	11–13	-0.01	21%	7 May →
mirage	13–3	0.06	16%	19 Apr →
anubis	13–4	0.14	30%	19 Apr →
mirage	13–5	0.01	22%	22 Mar →
nuke	13–8	0.08	28%	17 Mar →
overpass	13–7	0.06	33%	16 Mar →
anubis	3–13	-0.07	15%	7 Mar →
mirage	13–2	0.08	38%	5 Mar →
dust2	13–8	-0.06	35%	28 Feb →
anubis	13–10	0.08	30%	28 Feb →
anubis	9–13	0.04	35%	28 Feb →
mirage	13–8	0.08	19%	28 Feb →
dust2	13–9	0.15	55%	25 Feb →
mirage	12–12	0.12	44%	24 Feb →
mirage	13–11	0.05	34%	21 Feb →
mirage	7–13	0.03	44%	19 Feb →
dust2	13–8	0.07	40%	10 Feb →
ancient	19–15	-0.03	25%	10 Feb →
ancient	4–13	0.00	46%	9 Feb →
ancient	11–13	0.01	21%	8 Feb →
mirage	9–13	0.16	49%	7 Feb →
mirage	12–12	0.05	30%	7 Feb →
dust2	9–13	0.03	27%	7 Feb →
dust2	5–13	0.05	29%	7 Feb →
mirage	10–13	0.07	31%	6 Feb →
mirage	13–6	0.13	33%	6 Feb →
mirage	13–6	0.23	34%	27 Jan →
mirage	13–3	0.18	50%	27 Jan →
ancient	16–13	-0.00	16%	13 Nov →
inferno	11–13	0.12	34%	18 Oct →
dust2	8–13	0.02	33%	12 Oct →
mirage	7–13	0.03	33%	10 Oct →
mirage	13–3	0.06	38%	10 Oct →
anubis	2–13	-0.07	25%	30 Sept →
ancient	11–13	-0.03	19%	26 Feb →
mirage	13–10	0.07	32%	25 Feb →
mirage	13–4	0.05	24%	25 Feb →
mirage	7–13	0.00	0%	24 Feb →
mirage	13–16	0.05	22%	24 Feb →
ancient	10–13	0.04	17%	24 Feb →
dust2	10–13	0.10	34%	24 Feb →
mirage	13–7	-0.03	24%	7 Dec →
inferno	10–13	-0.00	64%	5 Dec →
anubis	16–12	-0.01	20%	30 Nov →
dust2	13–6	0.03	26%	30 Nov →
anubis	13–6	-0.04	41%	30 Nov →
ancient	10–13	0.02	21%	20 Nov →
mirage	13–6	0.05	33%	29 Oct →
mirage	8–13	-0.04	33%	28 Oct →
dust2	13–10	0.12	27%	13 Oct →
ancient	16–14	-0.00	33%	7 Oct →
ancient	16–14	0.08	25%	5 Jul →
dust2	13–7	0.07	20%	24 May →
anubis	13–11	0.05	18%	24 May →
nuke	11–13	0.04	17%	16 May →
ancient	11–13	-0.01	30%	22 Apr →
vertigo	13–6	0.05	24%	22 Apr →
ancient	5–13	-0.12	16%	21 Apr →
ancient	10–13	-0.02	24%	19 Apr →