Onkey — CS2 Stats

76561198133042385[U:1:172776657]Steam profile ↗✓ No bans

2,093Tracked matches53%Win rate2021Tracked since

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 10 · 2,089 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning51

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateLLWWWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim8.3

Aggression7.9

Utility6.9

Positioning5.1

Opening Duels2.8

Clutch4.0

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 Twistzz 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: higher opening-fight frequency.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim8.3

Positioning5.1

Utility6.9

Mechanics5.5

Opening Duels2.8

Win Impact6.1

Composite 6.3/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time564ms+19ms

first ⅓ avg 545ms → last ⅓ avg 564ms

Headshot accuracy18.8%−5.1%

first ⅓ avg 23.9% → last ⅓ avg 18.8%

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

0.18Best rating — dust2 13–4

13–1Biggest win — mirage

6Longest win streak

L2Current streak

10–12In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 58% over 19overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	22	7–15	32%	0.01
dust2	A	20	11–9	55%	0.03
ancient	A	19	11–8	58%	0.02
inferno	B	16	8–8	50%	0.00
anubis	C	11	4–7	36%	0.02
nuke	D	6	2–4	33%	-0.01
overpass	D	5	1–4	20%	-0.01
cache	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,695Matches

51%Win rate

1.25Avg K/D

81.2ADR

48%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	208	50%	1.24	17.4
Inferno	196	51%	1.20	16.7
Dust2	194	45%	1.15	17.1
Anubis	183	54%	1.23	17.2
Mirage	119	39%	1.08	16.6
Nuke	94	50%	1.30	17.0
Overpass	33	39%	1.27	17.5
Vertigo	14	57%	1.11	18.5

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.

19.4%Headshot accuracy

38.0%Accuracy (enemy spotted)

46.2%Spray accuracy

75.0%Counter-strafing

9.1°Preaim

550msReaction time

31.1%T opening success

51.3%CT opening success

0.65Enemies flashed / flash

4.2%Flash assists

8.35HE damage / grenade

27.22Flashes / 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 31.0719% — 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.

20% win rate across 5 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
dust2	11–13	0.09	17%	30 Aug →
mirage	8–13	-0.06	17%	30 Aug →
mirage	13–9	0.06	13%	29 Aug →
dust2	13–6	0.11	26%	29 Aug →
inferno	13–10	0.01	22%	28 Aug →
anubis	6–13	0.00	26%	26 Aug →
anubis	22–20	0.03	28%	20 Aug →
mirage	14–16	0.01	14%	20 Aug →
mirage	13–11	0.02	14%	17 Aug →
mirage	10–13	-0.01	24%	14 Aug →
mirage	8–13	-0.03	11%	14 Aug →
dust2	13–9	-0.02	15%	14 Aug →
inferno	13–11	0.02	14%	14 Aug →
dust2	13–11	-0.02	16%	9 Aug →
ancient	11–13	0.04	14%	8 Aug →
dust2	10–13	0.03	19%	30 Jul →
inferno	3–13	0.04	23%	26 Jul →
inferno	10–13	0.01	18%	8 Jun →
anubis	13–10	0.05	21%	2 Jun →
cache	5–13	-0.03	25%	30 Apr →
ancient	14–16	-0.01	22%	29 Mar →
dust2	16–12	0.03	23%	25 Mar →
mirage	8–13	0.02	23%	25 Mar →
dust2	13–8	0.02	18%	25 Mar →
inferno	13–2	-0.03	18%	23 Mar →
ancient	13–8	0.03	14%	23 Mar →
mirage	13–1	0.01	29%	23 Mar →
ancient	13–11	0.00	24%	20 Mar →
dust2	13–4	0.18	14%	19 Mar →
mirage	9–13	0.05	19%	17 Mar →
dust2	6–13	0.00	16%	16 Mar →
overpass	11–13	-0.01	14%	16 Mar →
anubis	11–13	-0.01	11%	16 Mar →
anubis	8–13	0.03	29%	14 Mar →
ancient	16–13	0.03	32%	13 Mar →
mirage	20–22	0.02	26%	13 Mar →
ancient	13–7	0.07	19%	13 Mar →
ancient	9–13	-0.03	18%	10 Mar →
dust2	3–13	-0.00	29%	10 Mar →
dust2	13–7	0.02	27%	6 Mar →
ancient	7–13	0.00	20%	5 Mar →
ancient	13–8	0.07	13%	5 Mar →
ancient	15–15	0.03	14%	4 Mar →
ancient	9–13	-0.04	12%	4 Mar →
dust2	13–5	0.02	35%	4 Mar →
mirage	5–13	-0.01	31%	28 Feb →
overpass	2–13	-0.03	17%	28 Feb →
nuke	12–16	-0.02	20%	28 Feb →
overpass	13–10	0.00	22%	28 Feb →
ancient	13–7	0.04	13%	27 Feb →
inferno	6–13	-0.01	11%	25 Feb →
anubis	13–10	0.11	30%	17 Feb →
inferno	8–13	0.04	22%	14 Feb →
inferno	5–13	-0.03	13%	13 Feb →
mirage	13–11	0.03	13%	13 Feb →
inferno	13–6	-0.06	18%	11 Feb →
ancient	10–13	-0.04	26%	11 Feb →
mirage	13–16	0.02	16%	10 Feb →
dust2	7–13	-0.04	12%	7 Feb →
mirage	17–19	0.02	22%	7 Feb →
ancient	13–6	0.07	47%	6 Feb →
mirage	8–13	0.06	16%	5 Feb →
mirage	10–13	0.03	16%	5 Feb →
mirage	10–13	0.01	12%	3 Feb →
anubis	10–13	0.01	37%	3 Feb →
anubis	7–13	-0.02	6%	2 Feb →
mirage	13–7	0.03	27%	2 Feb →
mirage	13–8	0.08	31%	1 Feb →
overpass	3–13	-0.06	28%	1 Feb →
anubis	10–13	0.05	19%	31 Jan →
ancient	13–11	0.06	30%	27 Jan →
inferno	13–11	0.06	16%	27 Jan →
dust2	13–7	0.10	37%	27 Jan →
dust2	13–16	-0.01	33%	24 Jan →
anubis	13–5	0.05	25%	24 Jan →
nuke	13–8	0.02	21%	21 Jan →
inferno	14–16	0.03	20%	21 Jan →
inferno	7–13	-0.06	24%	18 Jan →
dust2	13–7	0.01	26%	18 Jan →
anubis	4–13	-0.08	27%	18 Jan →
ancient	13–4	0.07	9%	18 Jan →
dust2	4–13	-0.01	18%	2 Jan →
inferno	13–3	0.11	25%	2 Jan →
ancient	13–11	0.05	19%	1 Jan →
nuke	6–13	-0.05	27%	1 Jan →
ancient	13–3	0.04	26%	23 Dec →
nuke	11–13	0.02	17%	7 Dec →
dust2	13–10	0.08	38%	1 Dec →
inferno	16–14	-0.01	22%	30 Nov →
mirage	9–13	-0.02	18%	30 Nov →
nuke	4–13	-0.04	19%	29 Nov →
mirage	8–13	-0.02	14%	25 Nov →
mirage	13–9	0.01	28%	23 Nov →
dust2	5–13	-0.08	34%	15 Nov →
dust2	14–16	-0.01	31%	13 Nov →
inferno	13–10	0.00	22%	3 Nov →
nuke	13–6	0.02	23%	27 Oct →
overpass	11–13	0.04	22%	27 Oct →
inferno	6–13	-0.06	10%	27 Oct →
ancient	6–13	-0.03	30%	26 Oct →