Onie — CS2 Stats

AU76561198015463731[U:1:55198003]Steam profile ↗✓ No bans

632Tracked matches57%Win rate2021Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating20,845Pink band · top ~7.6% of ranked players (population est.)

CSDB Leaderboard#7689 of 19987 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning54

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLWWWLLLWWL

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

Player DNA

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

Aim8.5

Aggression7.6

Utility6.5

Positioning5.4

Opening Duels3.5

Clutch6.6

Sharp aimerStrong CT-side openerEffective 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 b1t 94% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

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

T-side openings. Opening success drops from 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning5.4

Utility6.5

Mechanics6.9

Opening Duels3.5

Win Impact7.2

Composite 6.8/10 (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 rating0.00−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.00

Reaction time517ms−70ms

first ⅓ avg 586ms → last ⅓ avg 517ms

Headshot accuracy19.1%+2.3%

first ⅓ avg 16.8% → last ⅓ avg 19.1%

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

0.20Best rating — inferno 13–4

13–1Biggest win — inferno

7Longest win streak

3–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 67% over 18dust2Weakest map · 44% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	12–14	46%	0.01
ancient	S	18	12–6	67%	0.03
dust2	C	18	8–10	44%	0.02
inferno	A	14	8–6	57%	0.02
cache	A	13	8–5	62%	0.01
anubis	C	9	4–5	44%	0.02
nuke	—	2	1–1	50%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

48Matches

50%Win rate

1.25Avg K/D

89.7ADR

43%Headshot %

Clutches & streaks

53%1v1 clutch win

11%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	40%	1.08	16.4
Ancient	7	43%	1.20	16.3
Anubis	5	20%	0.95	15.0
Inferno	4	25%	1.01	15.3
Dust2	3	33%	1.36	20.0
Cache	3	100%	2.06	25.3
Vertigo	1	0%	0.61	11.0
Nuke	1	0%	1.43	20.0

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.

19.0%Headshot accuracy

38.0%Accuracy (enemy spotted)

44.2%Spray accuracy

80.9%Counter-strafing

9.5°Preaim

513msReaction time

34.9%T opening success

53.4%CT opening success

0.78Enemies flashed / flash

6.7%Flash assists

9.96HE damage / grenade

5.85Flashes / 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 34.9393% — below the 40% mark we flag

Spend your practice time on Dust 2

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

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	-0.10	18%	26 Aug →
anubis	13–2	0.01	38%	26 Aug →
ancient	13–7	-0.05	20%	26 Aug →
anubis	13–5	0.11	47%	26 Aug →
inferno	6–13	-0.04	16%	20 Aug →
anubis	11–13	0.02	11%	20 Aug →
inferno	9–13	-0.03	9%	18 Aug →
mirage	13–10	0.08	14%	18 Aug →
ancient	13–6	0.07	22%	17 Aug →
dust2	3–13	0.01	34%	17 Aug →
cache	9–3	-0.01	6%	17 Aug →
cache	9–1	0.09	16%	17 Aug →
mirage	5–13	0.07	22%	14 Aug →
mirage	13–7	-0.00	30%	13 Aug →
inferno	10–13	-0.04	20%	13 Aug →
mirage	13–8	0.02	9%	13 Aug →
mirage	9–13	0.03	20%	13 Aug →
mirage	13–8	0.08	20%	13 Aug →
mirage	13–6	0.01	22%	13 Aug →
ancient	11–13	-0.05	9%	13 Aug →
ancient	13–5	-0.05	11%	13 Aug →
inferno	13–5	0.07	22%	13 Aug →
anubis	13–6	0.00	17%	12 Aug →
dust2	13–11	-0.01	19%	12 Aug →
inferno	13–1	0.02	24%	12 Aug →
dust2	13–3	0.00	18%	12 Aug →
mirage	14–16	-0.01	12%	12 Aug →
mirage	2–13	-0.07	19%	12 Aug →
mirage	7–13	-0.04	22%	12 Aug →
dust2	7–13	0.01	15%	11 Aug →
mirage	5–13	-0.02	14%	11 Aug →
cache	11–13	0.03	21%	11 Aug →
cache	5–13	-0.08	14%	11 Aug →
mirage	13–8	-0.01	19%	11 Aug →
cache	13–9	-0.01	17%	10 Aug →
ancient	16–13	-0.07	16%	10 Aug →
cache	13–3	0.03	13%	10 Aug →
cache	16–12	-0.02	27%	10 Aug →
cache	13–1	0.05	13%	10 Aug →
dust2	13–10	0.06	32%	9 Aug →
mirage	9–13	0.01	21%	7 Aug →
ancient	9–5	0.05	32%	7 Aug →
anubis	14–16	-0.05	12%	7 Aug →
ancient	8–13	0.02	22%	4 Aug →
dust2	13–2	-0.00	22%	4 Aug →
inferno	0–4	0.00	0%	1 Aug →
cache	2–13	-0.10	10%	1 Aug →
mirage	7–13	-0.09	7%	1 Aug →
ancient	15–15	0.06	14%	28 Jul →
dust2	13–10	0.06	24%	28 Jul →
mirage	15–15	0.00	17%	20 Jul →
dust2	13–2	0.08	24%	20 Jul →
cache	13–8	0.03	27%	20 Jul →
inferno	13–4	0.20	28%	13 Jul →
dust2	2–13	0.01	18%	13 Jul →
ancient	13–6	0.07	14%	12 Jul →
mirage	10–13	-0.07	18%	10 Jul →
cache	13–7	0.01	12%	10 Jul →
cache	10–13	0.01	22%	10 Jul →
ancient	13–9	0.04	22%	10 Jul →
dust2	10–13	0.03	12%	4 Jul →
dust2	14–16	0.02	20%	4 Jul →
anubis	10–13	0.03	23%	1 Jul →
mirage	13–5	0.07	24%	1 Jul →
dust2	11–13	0.02	18%	1 Jul →
mirage	13–5	0.01	19%	17 Jun →
dust2	8–13	-0.09	15%	6 Jun →
mirage	13–9	0.05	16%	6 Jun →
anubis	14–16	0.04	15%	6 Jun →
ancient	13–5	0.01	13%	2 Jun →
ancient	13–11	-0.00	13%	31 May →
mirage	5–13	0.03	17%	27 May →
inferno	13–4	0.02	9%	27 May →
inferno	13–9	-0.01	21%	20 May →
mirage	13–6	0.06	11%	8 May →
dust2	15–15	-0.04	16%	8 May →
inferno	6–13	0.01	11%	8 May →
mirage	13–4	0.05	12%	5 May →
nuke	9–13	0.02	29%	5 May →
dust2	6–13	0.10	20%	30 Apr →
nuke	13–5	0.14	25%	30 Apr →
ancient	15–15	0.01	18%	30 Apr →
cache	12–12	0.04	13%	30 Apr →
inferno	13–9	0.02	11%	27 Apr →
mirage	7–13	-0.03	24%	27 Apr →
inferno	13–7	0.02	13%	25 Apr →
dust2	13–11	0.06	31%	25 Apr →
mirage	13–9	0.05	14%	25 Apr →
ancient	13–1	0.16	14%	25 Apr →
anubis	13–7	0.09	22%	24 Apr →
ancient	13–8	0.12	12%	24 Apr →
dust2	13–5	0.04	10%	22 Apr →
dust2	9–13	-0.06	30%	15 Apr →
anubis	7–13	-0.06	15%	12 Apr →
ancient	13–8	0.11	19%	10 Mar →
ancient	6–13	0.05	19%	10 Mar →
inferno	14–16	-0.00	17%	5 Mar →
inferno	13–5	0.08	23%	3 Mar →
ancient	3–13	-0.00	9%	3 Mar →
mirage	15–15	0.02	13%	3 Mar →