NB.niki — CS2 Stats

76561198274435017[U:1:314169289]Steam profile ↗✓ No bans

904Tracked matches37%Win rate2020Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating20,572Top 50% of 44,590 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#20010 of 57651 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning58

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateWLWWLLWLLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim7.9

Aggression6.1

Utility6.3

Positioning5.8

Opening Duels1.6

Clutch6.2

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 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim7.9

Positioning5.8

Utility6.3

Mechanics7.2

Opening Duels1.6

Win Impact0.6

Composite 5.9/10 (Solid), 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 rating0.03+0.04

first ⅓ avg -0.01 → last ⅓ avg 0.03

Reaction time552ms−97ms

first ⅓ avg 650ms → last ⅓ avg 552ms

Headshot accuracy15.2%+0.9%

first ⅓ avg 14.3% → last ⅓ avg 15.2%

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

0.21Best rating — inferno 13–0

13–0Biggest win — inferno

4Longest win streak

3–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 67% over 12anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	13–20	39%	-0.00
inferno	B	21	10–11	48%	0.01
nuke	S	12	8–4	67%	-0.02
mirage	A	11	7–4	64%	0.02
anubis	D	9	2–7	22%	-0.01
cache	B	8	4–4	50%	0.00
ancient	—	3	2–1	67%	0.03
vertigo	—	2	1–1	50%	0.08
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches

41%Win rate

1.81Avg K/D

93.8ADR

41%Headshot %

Clutches & streaks

51%1v1 clutch win

12%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	12	50%	1.45	18.8
Anubis	6	0%	0.95	15.8
Mirage	5	40%	1.59	21.4
Inferno	4	75%	5.43	25.0
Cache	3	67%	1.43	15.3
Nuke	2	50%	1.00	13.0
Vertigo	2	50%	2.09	27.5
Ancient	1	0%	1.80	27.0

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.

14.7%Headshot accuracy

37.1%Accuracy (enemy spotted)

38.8%Spray accuracy

82.3%Counter-strafing

8.4°Preaim

545msReaction time

36.2%T opening success

36.9%CT opening success

0.68Enemies flashed / flash

2.8%Flash assists

13.71HE damage / grenade

10.53Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.6625% — below the 15% 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 36.1824% — 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.

22% win rate across 9 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	13–7	0.11	13%	29 Aug →
dust2	7–13	0.06	18%	29 Aug →
dust2	13–10	0.01	20%	29 Aug →
inferno	13–0	0.21	20%	27 Aug →
mirage	14–16	-0.06	16%	27 Aug →
anubis	15–19	-0.09	11%	26 Aug →
nuke	13–8	0.04	14%	26 Aug →
anubis	12–16	0.00	13%	26 Aug →
dust2	12–16	-0.04	14%	25 Aug →
dust2	10–13	0.00	17%	25 Aug →
mirage	13–9	0.07	14%	25 Aug →
dust2	13–9	0.09	17%	24 Aug →
dust2	11–13	0.02	22%	24 Aug →
dust2	13–9	-0.01	18%	22 Aug →
anubis	8–13	0.10	11%	22 Aug →
mirage	8–13	0.07	13%	22 Aug →
inferno	7–13	0.17	11%	22 Aug →
cache	13–6	0.10	18%	22 Aug →
ancient	8–13	0.01	14%	22 Aug →
anubis	4–13	-0.07	12%	22 Aug →
mirage	10–13	0.03	17%	22 Aug →
anubis	6–13	0.00	15%	22 Aug →
dust2	5–13	-0.06	24%	21 Aug →
inferno	4–13	-0.09	13%	20 Aug →
inferno	16–13	0.16	19%	20 Aug →
dust2	6–13	-0.04	9%	20 Aug →
anubis	13–9	-0.02	4%	19 Aug →
dust2	4–7	-0.08	6%	19 Aug →
dust2	4–13	-0.06	14%	18 Aug →
anubis	13–10	-0.05	10%	18 Aug →
cache	13–9	0.04	19%	17 Aug →
dust2	13–5	0.13	20%	16 Aug →
vertigo	10–13	0.15	25%	16 Aug →
anubis	10–13	-0.07	8%	16 Aug →
vertigo	13–5	0.02	13%	16 Aug →
nuke	1–13	-0.07	0%	16 Aug →
cache	4–13	-0.04	13%	16 Aug →
mirage	7–13	-0.03	23%	15 Aug →
dust2	13–8	0.07	15%	15 Aug →
dust2	13–16	0.04	15%	15 Aug →
inferno	16–12	-0.00	16%	15 Aug →
dust2	13–4	0.14	20%	10 Aug →
inferno	2–13	-0.01	11%	10 Aug →
inferno	13–4	0.05	18%	7 Aug →
dust2	13–9	0.02	16%	6 Aug →
mirage	13–11	-0.01	25%	6 Aug →
inferno	5–13	-0.08	17%	6 Aug →
nuke	13–7	-0.03	8%	31 Jul →
nuke	7–13	-0.11	12%	31 Jul →
dust2	11–13	-0.04	9%	31 Jul →
inferno	13–7	-0.03	11%	30 Jul →
inferno	8–13	-0.03	17%	30 Jul →
inferno	11–13	0.02	14%	30 Jul →
nuke	8–13	-0.01	4%	30 Jul →
dust2	13–9	-0.00	7%	27 Jul →
cache	13–7	0.04	20%	27 Jul →
inferno	10–5	0.06	15%	27 Jul →
mirage	13–7	0.03	4%	27 Jul →
nuke	11–13	0.04	10%	26 Jul →
nuke	13–3	-0.04	14%	26 Jul →
inferno	8–13	0.01	8%	26 Jul →
dust2	0–4	-0.12	11%	26 Jul →
dust2	7–13	-0.02	11%	25 Jul →
inferno	13–7	-0.01	9%	25 Jul →
mirage	5–0	-0.04	18%	25 Jul →
inferno	2–13	-0.09	18%	24 Jul →
mirage	13–9	0.03	9%	24 Jul →
dust2	5–13	0.02	21%	17 Jul →
nuke	13–7	-0.02	12%	17 Jul →
cache	3–13	-0.01	19%	16 Jul →
inferno	13–6	-0.05	13%	16 Jul →
inferno	9–13	-0.03	21%	12 Jul →
anubis	7–13	0.07	13%	12 Jul →
dust2	13–3	0.02	16%	12 Jul →
nuke	13–11	-0.01	10%	10 Jul →
dust2	13–11	0.05	12%	10 Jul →
dust2	13–7	0.01	14%	8 Jul →
dust2	8–13	-0.02	19%	8 Jul →
cache	5–13	-0.07	6%	8 Jul →
inferno	13–2	0.03	13%	8 Jul →
dust2	10–13	-0.05	19%	6 Jul →
inferno	11–13	0.03	15%	5 Jul →
inferno	13–16	-0.01	10%	5 Jul →
overpass	11–13	-0.05	7%	5 Jul →
nuke	13–6	-0.01	18%	5 Jul →
dust2	7–13	-0.09	17%	5 Jul →
mirage	13–10	0.00	13%	2 Jul →
ancient	13–5	0.03	11%	27 Jun →
nuke	13–7	0.00	15%	24 Jun →
dust2	7–13	-0.01	19%	24 Jun →
inferno	16–12	-0.01	15%	22 Jun →
dust2	10–13	-0.02	16%	22 Jun →
dust2	13–6	-0.01	11%	22 Jun →
cache	13–9	-0.02	11%	22 Jun →
dust2	1–13	-0.08	17%	22 Jun →
cache	12–12	-0.01	13%	22 Jun →
ancient	13–7	0.06	20%	21 Jun →
nuke	13–9	-0.06	4%	17 Jun →
dust2	12–16	-0.05	18%	17 Jun →
dust2	13–9	-0.02	17%	12 Jun →