nnikko — CS2 Stats

NU76561198175411421[U:1:215145693]Steam profile ↗✓ No bans

2,477Tracked matches47%Win rate2020Tracked since

CSDB Rating4.8 DevelopingSupport

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning40

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLWLLWWLWWL

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.5

Aggression4.2

Utility7.5

Positioning4.0

Opening Duels0.5

Clutch1.2

High utility contribution

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 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

Reaction time. 635ms 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

Aim4.5

Positioning4.0

Utility7.5

Mechanics6.8

Opening Duels0.8

Win Impact3.9

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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time643ms+14ms

first ⅓ avg 629ms → last ⅓ avg 643ms

Headshot accuracy17.7%−0.2%

first ⅓ avg 17.9% → last ⅓ avg 17.7%

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 — anubis 13–3

13–1Biggest win — nuke

5Longest win streak

6–8In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 78% over 9anubisWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	20	8–12	40%	-0.04
ancient	C	18	8–10	44%	-0.04
inferno	B	17	8–9	47%	-0.04
anubis	D	15	3–12	20%	-0.02
dust2	A	10	6–4	60%	-0.03
nuke	S	9	7–2	78%	-0.03
cache	D	6	2–4	33%	-0.03
overpass	A	5	3–2	60%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,225Matches

50%Win rate

1.06Avg K/D

86.7ADR

41%Headshot %

Clutches & streaks

26%1v1 clutch win

15%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	84	49%	1.04	15.6
Ancient	52	42%	0.98	15.3
Inferno	39	59%	1.13	16.0
Nuke	38	61%	1.13	16.8
Vertigo	31	55%	0.97	17.0
Anubis	30	43%	0.98	16.0
Dust2	13	31%	1.13	18.4
Train	3	0%	0.71	11.3

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.

17.3%Headshot accuracy

24.5%Accuracy (enemy spotted)

26.3%Spray accuracy

80.7%Counter-strafing

8.5°Preaim

635msReaction time

28.0%T opening success

36.0%CT opening success

0.65Enemies flashed / flash

10.2%Flash assists

12.42HE damage / grenade

12.00Flashes / 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 27.9599% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	-0.04	14%	28 Aug →
ancient	13–9	-0.05	28%	2 Aug →
cache	11–13	-0.00	13%	2 Aug →
mirage	9–13	-0.08	19%	2 Aug →
inferno	13–8	-0.05	19%	1 Aug →
dust2	13–3	-0.05	18%	1 Aug →
inferno	13–16	-0.04	17%	1 Aug →
nuke	13–2	0.02	16%	31 Jul →
mirage	13–9	0.03	25%	31 Jul →
ancient	6–13	0.02	26%	31 Jul →
anubis	9–13	-0.06	14%	31 Jul →
dust2	13–8	-0.01	15%	31 Jul →
ancient	7–13	-0.03	12%	31 Jul →
cache	16–14	-0.02	15%	31 Jul →
cache	13–10	-0.00	17%	30 Jul →
ancient	4–13	-0.08	12%	28 Jul →
inferno	10–13	-0.03	13%	16 Jul →
cache	11–13	-0.04	18%	16 Jul →
mirage	6–13	-0.02	20%	13 Jul →
ancient	13–8	-0.03	13%	13 Jul →
anubis	9–13	-0.04	13%	13 Jul →
inferno	16–12	-0.02	20%	13 Jul →
nuke	6–13	-0.04	19%	13 Jul →
inferno	16–12	-0.02	18%	13 Jul →
mirage	13–8	-0.03	21%	13 Jul →
anubis	6–13	-0.06	11%	13 Jul →
dust2	8–13	-0.05	21%	13 Jul →
nuke	13–9	-0.07	16%	10 Jul →
cache	6–13	-0.07	23%	10 Jul →
nuke	13–9	-0.02	17%	10 Jul →
mirage	10–13	-0.07	33%	10 Jul →
mirage	11–13	-0.02	16%	10 Jul →
nuke	13–10	-0.03	16%	9 Jul →
mirage	13–7	-0.06	8%	9 Jul →
ancient	13–3	0.03	22%	9 Jul →
inferno	13–3	0.05	12%	9 Jul →
anubis	8–13	-0.07	22%	9 Jul →
nuke	16–12	-0.02	11%	9 Jul →
cache	11–13	-0.04	13%	9 Jul →
mirage	0–13	-0.08	17%	19 Jun →
ancient	13–9	0.05	26%	16 Jun →
overpass	16–14	-0.07	6%	13 Jun →
anubis	7–13	-0.11	60%	13 Jun →
inferno	8–13	-0.08	14%	5 Jun →
anubis	11–13	0.01	21%	17 May →
mirage	2–13	0.04	21%	16 May →
inferno	15–15	0.05	22%	15 May →
ancient	16–12	-0.06	14%	10 May →
mirage	7–13	0.01	21%	9 May →
overpass	5–13	-0.07	24%	7 May →
mirage	15–15	-0.03	25%	7 May →
dust2	13–10	0.00	31%	7 May →
ancient	11–13	-0.09	18%	7 May →
ancient	15–15	-0.04	17%	6 May →
anubis	10–13	-0.06	25%	1 May →
overpass	13–6	-0.05	23%	1 May →
mirage	13–9	-0.03	12%	21 Apr →
anubis	12–16	-0.05	15%	18 Apr →
mirage	5–13	-0.05	12%	10 Apr →
ancient	4–13	-0.07	18%	2 Apr →
dust2	11–13	-0.04	20%	30 Mar →
mirage	13–8	-0.05	25%	29 Mar →
inferno	2–13	-0.12	25%	29 Mar →
ancient	13–10	-0.03	24%	29 Mar →
mirage	4–13	-0.06	27%	28 Mar →
inferno	13–9	-0.06	20%	23 Mar →
inferno	7–13	-0.10	13%	23 Mar →
anubis	13–8	0.05	13%	22 Mar →
anubis	13–4	0.02	17%	22 Mar →
ancient	13–2	-0.02	28%	21 Mar →
mirage	13–5	-0.04	14%	21 Mar →
inferno	13–9	0.02	17%	21 Mar →
dust2	8–13	-0.10	33%	18 Mar →
mirage	10–13	-0.09	22%	18 Mar →
ancient	3–13	-0.09	10%	18 Mar →
nuke	16–12	-0.04	10%	16 Mar →
inferno	10–13	0.00	22%	16 Mar →
overpass	13–7	0.04	23%	15 Mar →
anubis	7–13	-0.01	7%	15 Mar →
ancient	5–13	-0.05	24%	15 Mar →
dust2	8–13	-0.07	16%	15 Mar →
anubis	13–3	0.08	13%	12 Mar →
inferno	13–11	-0.03	23%	12 Mar →
inferno	13–11	-0.02	12%	12 Mar →
anubis	15–15	0.01	12%	8 Mar →
overpass	11–13	-0.03	18%	8 Mar →
dust2	13–10	0.02	13%	7 Mar →
nuke	13–1	0.08	29%	1 Mar →
ancient	2–13	-0.06	3%	1 Mar →
dust2	13–4	0.01	17%	27 Feb →
mirage	16–14	0.00	20%	25 Feb →
ancient	13–7	-0.04	14%	25 Feb →
anubis	4–13	-0.01	16%	22 Feb →
ancient	10–13	-0.02	21%	22 Feb →
anubis	6–13	0.02	21%	22 Feb →
dust2	13–7	-0.03	21%	21 Feb →
mirage	16–14	-0.04	13%	21 Feb →
inferno	1–13	-0.06	24%	21 Feb →
inferno	5–13	-0.10	27%	21 Feb →
nuke	3–9	-0.12	20%	21 Feb →