Nocturne16 — CS2 Stats

76561198166325118[U:1:206059390]✓ No bans

886Tracked matches68%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77

Positioning59

Utility59

0–100 skill scores via Leetify.

Recent form

HOT59–32–9Last 10059%Win rateWWWTWWWLWW

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

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

Aim7.7

Aggression8.5

Utility5.9

Positioning5.9

Opening Duels4.5

Clutch1.8

Strong CT-side openerEffective flashes

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 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim7.7

Positioning5.9

Utility5.9

Mechanics7.3

Opening Duels4.5

Win Impact10.0

Composite 6.9/10 (Solid), 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 rating0.00−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.00

Reaction time603ms+36ms

first ⅓ avg 567ms → last ⅓ avg 603ms

Headshot accuracy21.8%−7.5%

first ⅓ avg 29.3% → last ⅓ avg 21.8%

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

0.13Best rating — dust2 13–4

13–1Biggest win — mirage

5Longest win streak

W3Current streak

9–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 86% over 7overpassWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	22	16–6	73%	0.04
mirage	B	20	10–10	50%	0.02
cache	A	14	9–5	64%	0.01
inferno	B	13	7–6	54%	0.03
overpass	B	11	5–6	45%	0.03
nuke	S	7	6–1	86%	0.01
ancient	B	6	3–3	50%	-0.01
train	—	3	1–2	33%	0.01
anubis	—	1	1–0	100%	-0.03
office	—	1	0–1	0%	-0.02
poseidon	—	1	0–1	0%	0.07
alpine	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

653Matches

56%Win rate

1.10Avg K/D

76.4ADR

48%Headshot %

Clutches & streaks

29%1v1 clutch win

14%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	24	67%	1.32	17.5
Mirage	22	50%	0.92	14.6
Cache	12	83%	1.16	15.6
Inferno	9	56%	1.00	13.7
Nuke	6	67%	1.89	14.7
Ancient	5	40%	0.86	13.2
Anubis	5	40%	1.00	13.4
Overpass	4	75%	1.69	20.0

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.

21.7%Headshot accuracy

33.0%Accuracy (enemy spotted)

35.4%Spray accuracy

82.6%Counter-strafing

7.8°Preaim

595msReaction time

33.6%T opening success

62.2%CT opening success

0.71Enemies flashed / flash

10.6%Flash assists

2.78HE damage / grenade

13.60Flashes / 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
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 33.6149% — below the 40% mark we flag

Spend your practice time on Overpass

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 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–10	-0.03	15%	22 Aug →
nuke	13–8	-0.04	29%	16 Aug →
mirage	13–10	-0.03	9%	14 Aug →
mirage	12–12	0.03	31%	14 Aug →
ancient	13–10	-0.08	17%	12 Aug →
dust2	13–5	-0.03	17%	12 Aug →
dust2	13–9	0.07	30%	24 Jul →
inferno	4–13	-0.08	21%	15 Jul →
dust2	16–12	0.03	29%	15 Jul →
cache	13–9	0.05	21%	15 Jul →
nuke	13–5	0.07	36%	14 Jul →
mirage	13–2	-0.05	9%	14 Jul →
mirage	14–16	-0.01	19%	14 Jul →
ancient	11–13	-0.04	15%	13 Jul →
cache	13–9	-0.01	23%	13 Jul →
inferno	13–10	0.07	30%	28 Jun →
mirage	13–4	0.05	30%	28 Jun →
dust2	12–12	0.06	26%	28 Jun →
cache	7–13	0.05	26%	28 Jun →
overpass	3–13	0.02	29%	28 Jun →
nuke	13–3	0.05	21%	23 Jun →
dust2	11–13	-0.00	24%	23 Jun →
cache	13–9	-0.04	13%	23 Jun →
ancient	9–13	-0.00	15%	20 Jun →
dust2	7–13	0.00	13%	12 Jun →
dust2	13–11	0.02	20%	12 Jun →
nuke	10–13	0.04	20%	12 Jun →
cache	13–11	0.03	18%	11 Jun →
mirage	13–1	-0.01	27%	7 Jun →
nuke	13–7	-0.02	21%	7 Jun →
overpass	9–13	0.01	18%	2 Jun →
dust2	13–7	0.06	27%	1 Jun →
mirage	6–13	-0.06	21%	1 Jun →
cache	13–9	0.01	20%	31 May →
inferno	2–13	-0.05	41%	31 May →
mirage	13–7	0.03	13%	30 May →
mirage	13–3	0.12	29%	20 May →
cache	6–13	-0.06	19%	20 May →
mirage	10–13	0.04	8%	19 May →
office	7–13	-0.02	28%	15 May →
cache	13–11	0.01	20%	15 May →
mirage	16–13	0.00	9%	14 May →
mirage	13–16	0.05	8%	14 May →
inferno	13–11	-0.01	20%	10 May →
dust2	13–2	0.10	34%	9 May →
overpass	13–1	0.04	15%	8 May →
cache	13–7	0.01	43%	8 May →
inferno	13–10	0.03	32%	8 May →
cache	8–13	0.03	25%	3 May →
cache	13–10	0.01	32%	3 May →
cache	13–7	0.06	25%	3 May →
cache	8–13	-0.01	36%	3 May →
cache	11–13	-0.05	13%	2 May →
overpass	12–12	0.01	26%	25 Apr →
inferno	10–13	0.02	23%	24 Apr →
nuke	13–8	0.04	38%	24 Apr →
dust2	13–6	0.10	36%	24 Apr →
ancient	13–6	-0.04	21%	24 Apr →
mirage	10–13	0.04	19%	24 Apr →
overpass	13–10	0.01	19%	10 Apr →
dust2	13–5	0.01	33%	10 Apr →
dust2	13–11	-0.05	25%	8 Apr →
ancient	7–13	0.05	39%	7 Apr →
overpass	8–13	0.08	19%	7 Apr →
mirage	7–13	0.01	16%	7 Apr →
ancient	13–6	0.07	19%	4 Apr →
dust2	13–4	0.13	36%	4 Apr →
poseidon	5–9	0.07	30%	4 Apr →
inferno	9–1	0.08	4%	4 Apr →
dust2	11–13	0.04	31%	4 Apr →
train	13–7	0.01	12%	29 Mar →
dust2	4–13	0.00	26%	28 Mar →
inferno	16–14	0.05	21%	22 Mar →
inferno	9–13	0.05	23%	15 Mar →
train	12–12	0.03	28%	6 Mar →
inferno	13–7	0.11	33%	6 Mar →
dust2	13–3	0.05	34%	5 Mar →
nuke	13–5	-0.04	19%	5 Mar →
inferno	11–13	0.00	26%	22 Feb →
overpass	12–12	0.01	42%	22 Feb →
mirage	12–12	0.07	27%	22 Feb →
mirage	13–11	0.06	33%	17 Feb →
inferno	10–13	0.11	26%	17 Feb →
dust2	13–8	0.06	31%	17 Feb →
dust2	13–4	0.11	25%	16 Feb →
alpine	13–10	0.05	24%	16 Feb →
mirage	12–12	-0.03	27%	16 Feb →
mirage	3–0	0.03	100%	16 Feb →
dust2	12–12	0.04	27%	16 Feb →
overpass	13–10	0.00	39%	13 Feb →
overpass	10–13	0.05	35%	13 Feb →
overpass	16–12	0.05	39%	13 Feb →
mirage	13–11	0.02	27%	12 Feb →
dust2	13–8	-0.02	30%	12 Feb →
mirage	12–12	0.01	23%	8 Feb →
dust2	6–5	0.06	19%	8 Feb →
inferno	13–10	0.07	21%	8 Feb →
dust2	13–8	-0.00	31%	8 Feb →
overpass	13–4	0.03	25%	8 Feb →
train	8–13	-0.00	27%	19 Jan →