nichtkay — CS2 Stats

76561198845199635[U:1:884933907]

1,055Tracked matches62%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating23,448Top 50% of 819 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning63

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateWLWWWLLWLW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

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

Aim7.3

Aggression8.5

Utility4.6

Positioning6.3

Opening Duels4.3

Clutch5.0

Strong CT-side opener

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 ropz 90% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 59% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim7.3

Positioning6.3

Utility4.6

Mechanics6.8

Opening Duels4.3

Win Impact9.0

Composite 6.6/10 (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 rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time563ms−34ms

first ⅓ avg 598ms → last ⅓ avg 563ms

Headshot accuracy21.6%+4.9%

first ⅓ avg 16.7% → last ⅓ avg 21.6%

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

0.19Best rating — cache 13–4

13–1Biggest win — nuke

6Longest win streak

13–13In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 64% over 28infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	28	18–10	64%	-0.00
cache	A	22	14–8	64%	0.01
dust2	B	16	8–8	50%	0.00
anubis	C	14	6–8	43%	-0.01
inferno	D	10	3–7	30%	-0.03
overpass	B	6	3–3	50%	-0.01
nuke	—	4	2–2	50%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

156Matches

56%Win rate

1.05Avg K/D

79.6ADR

48%Headshot %

Clutches & streaks

45%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	37	59%	1.07	17.2
Dust2	34	62%	1.08	17.1
Anubis	26	42%	0.93	15.2
Cache	16	69%	1.23	17.5
Inferno	15	67%	1.10	17.7
Overpass	11	45%	0.74	11.3
Mirage	7	43%	1.17	20.0
Vertigo	2	50%	0.42	9.5

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.

21.3%Headshot accuracy

31.0%Accuracy (enemy spotted)

32.4%Spray accuracy

80.8%Counter-strafing

8.2°Preaim

560msReaction time

35.5%T opening success

58.6%CT opening success

0.39Enemies flashed / flash

6.2%Flash assists

11.20HE damage / grenade

6.88Flashes / 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 0.3916 — below the 0.5 mark we flag
Grenade Lineups →
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 35.4512% — below the 40% mark we flag

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.

30% win rate across 10 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
ancient	13–7	-0.05	12%	23 Aug →
inferno	6–13	-0.02	29%	23 Aug →
dust2	13–9	0.03	21%	23 Aug →
nuke	13–1	0.03	24%	23 Aug →
dust2	13–10	-0.02	22%	22 Aug →
inferno	12–16	-0.04	35%	18 Aug →
cache	6–13	0.03	21%	18 Aug →
ancient	13–7	0.05	36%	18 Aug →
dust2	20–22	0.03	22%	11 Aug →
inferno	6–5	-0.03	26%	11 Aug →
dust2	5–13	0.04	23%	5 Aug →
cache	13–4	0.19	32%	5 Aug →
ancient	13–9	0.04	29%	5 Aug →
cache	13–10	0.04	14%	4 Aug →
dust2	11–13	-0.04	16%	4 Aug →
anubis	13–8	-0.01	13%	4 Aug →
dust2	13–8	0.01	18%	4 Aug →
anubis	15–15	-0.00	17%	18 Jul →
ancient	13–11	0.05	25%	18 Jul →
inferno	13–2	0.05	18%	18 Jul →
anubis	11–13	-0.03	22%	18 Jul →
ancient	11–13	-0.02	12%	17 Jul →
inferno	13–11	-0.03	21%	16 Jul →
cache	13–8	-0.07	20%	16 Jul →
ancient	19–17	-0.01	18%	16 Jul →
cache	6–13	-0.06	16%	13 Jul →
anubis	13–5	0.02	23%	13 Jul →
dust2	13–9	-0.01	28%	13 Jul →
inferno	8–13	-0.03	14%	13 Jul →
ancient	5–13	-0.08	21%	13 Jul →
ancient	5–13	0.00	20%	12 Jul →
dust2	4–13	0.02	28%	11 Jul →
ancient	13–6	-0.00	19%	11 Jul →
anubis	13–9	0.03	20%	11 Jul →
ancient	2–13	-0.02	35%	11 Jul →
inferno	5–13	-0.08	14%	11 Jul →
nuke	16–14	0.04	22%	11 Jul →
dust2	0–13	-0.05	100%	11 Jul →
cache	13–10	-0.02	27%	10 Jul →
dust2	13–5	-0.04	21%	10 Jul →
ancient	13–7	-0.01	19%	10 Jul →
ancient	13–8	-0.00	19%	10 Jul →
cache	13–1	-0.04	24%	10 Jul →
ancient	13–2	-0.01	9%	7 Jul →
inferno	8–13	-0.07	22%	7 Jul →
cache	13–6	-0.06	19%	7 Jul →
ancient	2–13	0.04	12%	30 Jun →
dust2	14–16	-0.03	23%	30 Jun →
cache	13–8	0.01	23%	12 Jun →
cache	11–13	-0.03	33%	12 Jun →
ancient	13–7	0.05	14%	12 Jun →
ancient	11–13	-0.05	19%	7 Jun →
dust2	13–6	0.05	27%	14 May →
cache	13–11	-0.01	18%	14 May →
cache	19–17	0.03	19%	14 May →
dust2	13–11	0.02	27%	5 May →
overpass	9–13	-0.03	9%	5 May →
cache	13–2	0.00	22%	5 May →
anubis	9–13	-0.04	24%	5 May →
cache	2–13	-0.02	32%	5 May →
cache	13–11	0.02	15%	4 May →
cache	12–12	-0.00	30%	4 May →
cache	13–4	0.09	26%	4 May →
cache	11–13	-0.01	24%	29 Apr →
cache	13–7	0.06	22%	29 Apr →
cache	12–12	-0.02	17%	29 Apr →
inferno	6–13	-0.10	27%	29 Apr →
cache	12–12	0.05	18%	29 Apr →
cache	13–6	0.02	38%	29 Apr →
ancient	13–4	0.04	13%	28 Apr →
ancient	7–13	-0.04	16%	28 Apr →
ancient	16–14	-0.01	20%	26 Apr →
anubis	13–11	0.03	22%	20 Apr →
overpass	13–10	-0.06	17%	20 Apr →
overpass	11–13	0.03	19%	12 Mar →
ancient	13–7	0.03	19%	12 Mar →
nuke	14–16	-0.04	12%	9 Mar →
overpass	13–3	0.03	13%	9 Mar →
anubis	11–13	-0.05	14%	5 Mar →
anubis	7–13	-0.01	17%	4 Mar →
ancient	1–13	-0.06	10%	4 Mar →
overpass	8–13	-0.05	20%	4 Mar →
dust2	13–6	0.03	12%	22 Feb →
overpass	13–6	0.05	24%	22 Feb →
anubis	10–13	0.00	18%	22 Feb →
ancient	13–11	0.02	14%	21 Feb →
inferno	11–13	0.01	25%	21 Feb →
anubis	9–13	-0.02	14%	21 Feb →
ancient	16–13	-0.01	16%	11 Feb →
anubis	13–7	0.04	13%	10 Feb →
anubis	13–10	-0.01	11%	10 Feb →
ancient	16–13	-0.03	7%	10 Feb →
nuke	11–13	-0.06	36%	10 Feb →
dust2	6–13	0.00	13%	7 Feb →
anubis	5–13	-0.04	14%	7 Feb →
ancient	13–8	-0.03	15%	6 Feb →
ancient	5–13	-0.05	5%	6 Feb →
dust2	3–13	0.04	17%	4 Feb →
ancient	8–13	0.01	20%	4 Feb →
ancient	19–17	0.03	12%	4 Feb →