Stainy — CS2 Stats

FR76561198860345154[U:1:900079426]Steam profile ↗

1,634Tracked matches61%Win rate2020Tracked since

CSDB Rating7.0 StrongHybrid Rifler

Premier CS Rating24,215Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning53

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY59–39–2Last 10059%Win rateLWLLLWLWWW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.8

Aggression5.6

Utility5.3

Positioning5.3

Opening Duels2.1

Clutch6.0

Sharp aimerExcellent counter-strafingEffective 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 NiKo 93% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 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.

Reaction time. 573ms 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

Aim8.8

Positioning5.3

Utility5.3

Mechanics8.6

Opening Duels2.1

Win Impact8.6

Composite 7.0/10 (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 rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time581ms+10ms

first ⅓ avg 570ms → last ⅓ avg 581ms

Headshot accuracy31.4%−5.8%

first ⅓ avg 37.1% → last ⅓ avg 31.4%

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

0.22Best rating — dust2 13–4

13–1Biggest win — inferno

7Longest win streak

15–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 78% over 9anubisWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	16–13	55%	0.06
mirage	A	18	11–7	61%	0.02
inferno	S	16	11–5	69%	0.04
anubis	B	13	6–7	46%	0.01
nuke	S	9	7–2	78%	0.05
ancient	A	5	3–2	60%	0.00
vertigo	—	4	3–1	75%	0.03
grail	—	2	0–2	0%	0.04
overpass	—	2	1–1	50%	0.05
cache	—	1	0–1	0%	0.06
office	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,882Matches

53%Win rate

1.22Avg K/D

88.1ADR

48%Headshot %

Clutches & streaks

50%1v1 clutch win

21%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	147	51%	1.17	17.5
Anubis	122	55%	1.20	16.4
Nuke	70	50%	1.25	18.1
Inferno	58	53%	1.20	17.9
Vertigo	53	49%	1.14	16.3
Ancient	42	43%	1.13	16.0
Dust2	37	62%	1.22	18.0
Overpass	30	50%	1.25	19.2

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.

32.0%Headshot accuracy

33.9%Accuracy (enemy spotted)

32.4%Spray accuracy

88.8%Counter-strafing

8.6°Preaim

573msReaction time

31.1%T opening success

45.7%CT opening success

0.73Enemies flashed / flash

7.5%Flash assists

9.65HE damage / grenade

6.90Flashes / 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 31.1473% — 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.

46% win rate across 13 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
dust2	10–13	0.07	22%	20 Aug →
dust2	13–3	0.03	39%	20 Aug →
dust2	6–13	0.06	31%	20 Aug →
dust2	5–13	-0.04	16%	19 Aug →
mirage	6–13	-0.05	29%	19 Aug →
dust2	13–4	0.01	33%	18 Aug →
mirage	6–13	-0.06	21%	14 Aug →
ancient	13–9	-0.04	23%	14 Aug →
inferno	13–1	0.06	48%	13 Aug →
dust2	13–11	0.10	32%	13 Aug →
mirage	13–6	0.05	30%	13 Aug →
inferno	13–8	-0.00	27%	13 Aug →
dust2	9–13	-0.04	60%	13 Aug →
cache	8–13	0.06	46%	12 Aug →
inferno	13–8	-0.03	21%	1 Jul →
mirage	13–8	0.05	37%	31 Mar →
mirage	13–11	0.02	26%	12 Mar →
ancient	13–5	0.10	31%	9 Mar →
nuke	13–10	-0.00	32%	9 Mar →
nuke	13–11	0.04	33%	4 Mar →
inferno	7–13	0.01	45%	4 Mar →
inferno	13–6	0.00	30%	4 Mar →
dust2	10–13	-0.02	31%	20 May →
nuke	13–7	0.02	46%	20 May →
inferno	13–7	0.19	47%	20 May →
dust2	3–13	-0.06	36%	18 May →
mirage	11–13	0.04	26%	11 May →
dust2	13–2	0.05	42%	11 May →
grail	12–12	0.00	28%	9 May →
grail	12–12	0.07	7%	8 May →
dust2	10–13	0.07	23%	4 May →
inferno	6–13	-0.09	15%	26 Apr →
anubis	11–13	0.01	22%	26 Apr →
anubis	4–10	-0.07	17%	17 Apr →
mirage	13–10	0.05	26%	15 Apr →
ancient	13–4	-0.03	23%	15 Apr →
dust2	13–11	-0.03	31%	15 Apr →
nuke	13–7	0.04	33%	15 Apr →
nuke	16–14	0.03	54%	14 Apr →
anubis	4–13	0.03	25%	13 Apr →
dust2	13–11	0.05	30%	13 Apr →
dust2	13–5	0.09	20%	12 Apr →
nuke	13–11	0.05	33%	11 Apr →
dust2	9–13	-0.02	36%	11 Apr →
anubis	11–13	-0.03	21%	9 Apr →
mirage	16–12	0.10	40%	4 Apr →
anubis	13–11	0.07	30%	17 Dec →
ancient	13–16	-0.02	37%	15 Dec →
mirage	13–6	0.00	43%	15 Dec →
dust2	13–5	0.02	35%	22 Nov →
anubis	7–13	-0.07	36%	21 Nov →
dust2	13–2	0.00	35%	16 Nov →
overpass	10–13	0.01	42%	13 Nov →
dust2	9–13	0.02	27%	13 Nov →
dust2	13–9	0.15	32%	5 Nov →
mirage	16–14	0.01	39%	14 Oct →
mirage	13–5	-0.07	32%	14 Oct →
inferno	13–3	0.18	33%	14 Oct →
office	13–8	0.01	41%	13 Oct →
dust2	13–11	0.17	33%	13 Oct →
inferno	13–6	0.07	44%	13 Oct →
inferno	10–13	0.05	42%	12 Oct →
dust2	8–13	0.07	31%	12 Oct →
mirage	2–13	-0.07	45%	10 Oct →
dust2	9–13	0.01	31%	30 Sept →
dust2	13–11	0.08	32%	30 Sept →
vertigo	13–9	0.17	36%	30 Sept →
dust2	13–2	0.17	47%	23 Sept →
dust2	13–3	0.11	33%	23 Sept →
inferno	13–8	0.09	36%	22 Sept →
dust2	13–5	0.12	26%	22 Sept →
mirage	10–13	0.15	38%	22 Sept →
ancient	11–13	-0.00	28%	19 Sept →
inferno	13–11	-0.04	45%	18 Sept →
mirage	13–9	0.05	43%	16 Sept →
nuke	13–9	0.10	27%	14 Sept →
dust2	8–13	0.06	68%	14 Sept →
nuke	4–3	0.09	45%	14 Sept →
inferno	8–13	0.03	37%	6 Sept →
anubis	13–5	-0.01	39%	30 Aug →
dust2	9–13	0.05	40%	29 Aug →
inferno	13–5	0.05	40%	27 Aug →
anubis	13–1	0.13	52%	26 Aug →
nuke	10–13	0.04	40%	22 Jul →
mirage	11–13	0.06	55%	17 Jul →
dust2	13–4	0.22	45%	27 Apr →
mirage	12–16	0.03	29%	20 Mar →
inferno	1–0	0.00	0%	14 Mar →
anubis	13–5	-0.00	33%	10 Mar →
inferno	8–13	0.04	27%	10 Mar →
anubis	13–11	0.11	24%	10 Mar →
mirage	13–8	-0.01	50%	10 Mar →
vertigo	13–11	-0.03	20%	10 Mar →
anubis	2–13	-0.06	22%	10 Mar →
anubis	4–13	-0.06	35%	10 Mar →
mirage	13–6	-0.01	35%	10 Mar →
overpass	13–2	0.09	42%	10 Mar →
anubis	13–5	0.05	48%	10 Mar →
vertigo	5–13	-0.05	44%	10 Mar →
vertigo	13–10	0.03	33%	9 Mar →