OnyxTom — CS2 Stats

76561198194139701[U:1:233873973]

2,768Tracked matches47%Win rate2021Tracked since

CSDB Rating5.9 SolidAggressive Rifler

FaceitLevel 9 · 2,197 ELOTop 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning59

Utility63

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateWLLWLLLLLW

Last 10 vs previous 10: -50pp win rate · +0.02 avg rating

Player DNA

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

Aim7.1

Aggression7.4

Utility6.3

Positioning5.9

Opening Duels3.7

Clutch3.4

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 b1t 93% playstyle similarity

Most alike: opening-fight frequency, 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 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim7.1

Positioning5.9

Utility6.3

Mechanics5.6

Opening Duels3.7

Win Impact3.9

Composite 5.9/10 (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 0.00 → last ⅓ avg 0.02

Reaction time608ms+26ms

first ⅓ avg 582ms → last ⅓ avg 608ms

Headshot accuracy27.6%+0.2%

first ⅓ avg 27.4% → last ⅓ avg 27.6%

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

0.10Best rating — ancient 9–13

13–1Biggest win — ancient

7Longest win streak

5–9In matches decided by ≤2 rounds

16Overtime games

Map breakdown

anubisBest map · 80% over 5vertigoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	29	12–17	41%	0.01
ancient	A	18	10–8	56%	0.02
inferno	C	14	6–8	43%	0.02
nuke	S	10	7–3	70%	0.01
dust2	D	7	2–5	29%	0.01
vertigo	D	5	1–4	20%	0.04
anubis	S	5	4–1	80%	-0.01
overpass	C	5	2–3	40%	-0.01
cache	—	4	1–3	25%	0.01
train	—	3	1–2	33%	-0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

2,280Matches

50%Win rate

1.11Avg K/D

86.2ADR

56%Headshot %

Clutches & streaks

37%1v1 clutch win

24%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	719	49%	1.08	17.3
Inferno	356	55%	1.16	18.2
Ancient	324	49%	1.07	17.0
Nuke	195	51%	1.12	17.6
Vertigo	183	58%	1.21	18.8
Anubis	162	48%	1.06	16.8
Train	123	54%	1.24	20.0
Dust2	111	40%	0.97	15.4

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.

27.2%Headshot accuracy

32.4%Accuracy (enemy spotted)

35.5%Spray accuracy

75.4%Counter-strafing

10.1°Preaim

604msReaction time

31.7%T opening success

58.2%CT opening success

0.65Enemies flashed / flash

10.2%Flash assists

10.95HE damage / grenade

7.94Flashes / 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 31.7098% — below the 40% mark we flag

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–8	0.02	20%	30 Aug →
vertigo	11–13	0.05	23%	30 Aug →
dust2	10–13	0.04	43%	29 Aug →
ancient	13–1	0.09	35%	15 Aug →
vertigo	2–13	0.03	33%	15 Aug →
cache	9–13	-0.00	38%	15 Aug →
cache	15–19	0.03	36%	2 Aug →
ancient	13–16	-0.00	19%	2 Aug →
cache	5–13	0.00	41%	31 Jul →
cache	13–8	0.01	40%	24 Jul →
nuke	13–7	0.08	37%	12 Jul →
ancient	13–8	0.02	27%	8 Jul →
anubis	13–7	-0.04	53%	3 Jul →
ancient	13–9	0.00	26%	27 Jun →
nuke	13–11	0.05	24%	11 Jun →
ancient	16–12	0.05	20%	9 Jun →
mirage	11–13	-0.05	21%	9 Jun →
mirage	13–10	-0.04	22%	8 Jun →
nuke	13–9	0.02	15%	29 May →
mirage	6–13	-0.06	19%	24 May →
overpass	13–11	0.06	23%	22 May →
mirage	10–13	0.01	24%	14 May →
mirage	8–13	-0.05	17%	2 May →
inferno	11–13	0.02	32%	2 May →
ancient	13–4	-0.05	6%	1 May →
ancient	9–13	0.10	19%	28 Apr →
vertigo	10–13	0.08	40%	21 Apr →
inferno	7–13	-0.02	17%	18 Apr →
ancient	3–13	-0.01	23%	18 Apr →
mirage	13–8	0.07	24%	15 Apr →
inferno	13–9	0.04	38%	12 Apr →
ancient	13–5	0.01	15%	11 Apr →
inferno	13–7	-0.00	41%	9 Apr →
nuke	5–13	-0.06	33%	9 Apr →
vertigo	6–9	0.04	23%	7 Apr →
inferno	11–13	-0.00	28%	5 Apr →
inferno	13–9	0.05	20%	5 Apr →
mirage	9–13	0.01	28%	4 Apr →
ancient	15–15	-0.00	24%	28 Mar →
mirage	16–13	0.05	31%	26 Mar →
dust2	16–12	0.08	28%	25 Mar →
ancient	13–8	0.07	16%	25 Mar →
mirage	9–13	-0.03	33%	23 Mar →
inferno	8–8	0.05	33%	19 Mar →
mirage	5–13	0.08	34%	19 Mar →
inferno	5–13	0.07	21%	15 Mar →
mirage	4–13	-0.03	30%	15 Mar →
inferno	13–9	-0.01	27%	14 Mar →
ancient	13–2	0.02	29%	13 Mar →
mirage	13–9	0.10	38%	12 Mar →
anubis	16–12	-0.00	16%	10 Mar →
vertigo	9–6	0.02	62%	8 Mar →
inferno	7–9	-0.03	22%	8 Mar →
ancient	13–6	0.04	23%	4 Mar →
dust2	4–13	-0.08	26%	2 Mar →
ancient	14–16	-0.07	30%	1 Mar →
dust2	8–13	0.02	44%	19 Feb →
nuke	13–7	0.07	36%	19 Feb →
anubis	13–16	0.01	38%	10 Feb →
dust2	10–13	-0.02	22%	2 Feb →
anubis	13–6	0.02	19%	1 Feb →
ancient	13–10	-0.00	25%	1 Feb →
overpass	16–19	-0.04	19%	21 Jan →
mirage	14–16	-0.07	17%	18 Jan →
ancient	5–13	-0.03	22%	18 Jan →
mirage	13–5	0.09	41%	17 Jan →
ancient	9–13	0.02	26%	17 Jan →
mirage	6–13	-0.05	17%	15 Jan →
dust2	13–6	0.02	29%	15 Jan →
anubis	13–10	-0.02	11%	14 Jan →
nuke	7–13	-0.06	28%	10 Jan →
mirage	19–17	-0.01	34%	4 Jan →
train	13–7	0.02	35%	4 Jan →
dust2	9–13	0.05	18%	3 Jan →
mirage	13–5	0.01	32%	2 Jan →
inferno	12–16	-0.03	15%	31 Dec →
mirage	13–11	0.01	29%	29 Dec →
nuke	5–13	-0.03	32%	29 Dec →
mirage	16–14	0.03	36%	27 Dec →
mirage	13–6	-0.03	34%	26 Dec →
nuke	13–9	0.01	45%	26 Dec →
nuke	13–2	-0.02	35%	23 Dec →
mirage	14–16	0.01	18%	21 Dec →
inferno	13–9	0.03	29%	19 Dec →
mirage	6–13	0.03	22%	18 Dec →
overpass	11–13	-0.05	23%	10 Dec →
mirage	4–13	-0.02	18%	10 Dec →
train	4–13	0.02	46%	10 Dec →
mirage	13–2	0.03	20%	10 Dec →
inferno	5–13	0.01	37%	10 Dec →
overpass	10–13	-0.02	18%	8 Dec →
nuke	13–9	0.02	38%	1 Dec →
mirage	9–13	-0.06	8%	30 Nov →
train	12–16	-0.04	25%	29 Nov →
mirage	9–13	0.01	22%	26 Nov →
mirage	10–13	0.09	29%	24 Nov →
overpass	13–4	0.02	32%	24 Nov →
inferno	13–7	0.03	24%	24 Nov →
ancient	7–13	0.06	33%	23 Nov →
mirage	10–13	0.00	32%	18 Nov →