Oblyx — CS2 Stats

76561198010364156[U:1:50098428]Steam profile ↗✓ No bans

1,227Tracked matches63%Win rate2020Tracked since

5,783Hours in CS12Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim69

Positioning53

Utility74

0–100 skill scores via Leetify.

Recent form

HOT55–44–1Last 10055%Win rateWWWWLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim6.9

Aggression5.5

Utility7.4

Positioning5.3

Opening Duels1.6

Clutch3.0

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, positioning profile.

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 54% on CT to 19% 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

Aim6.9

Positioning5.3

Utility7.4

Mechanics6.5

Opening Duels3.0

Win Impact9.4

Composite 6.5/10 (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 rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time552ms−23ms

first ⅓ avg 575ms → last ⅓ avg 552ms

Headshot accuracy13.8%−0.8%

first ⅓ avg 14.7% → last ⅓ avg 13.8%

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

0.12Best rating — dust2 13–2

13–1Biggest win — dust2

5Longest win streak

W4Current streak

13–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 73% over 11mirageWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	23	15–8	65%	0.01
inferno	S	18	12–6	67%	-0.01
anubis	B	16	8–8	50%	-0.02
mirage	D	14	4–10	29%	-0.02
cache	S	11	8–3	73%	0.01
overpass	C	10	4–6	40%	-0.01
nuke	A	5	3–2	60%	-0.01
ancient	—	2	0–2	0%	-0.05
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

191,728Lifetime kills

0.98K/D

17,036Matches

34.6%Match win rate

46.1%Headshot % · Top 50% of tracked players

17.5%Shot accuracy · Top 25% of tracked players

17,312MVPs

5,050Hours (in match)

8,527Bombs planted

2,905Bombs defused

Most-used weapons

AK-4767,185

M4A4 / M4A1-S30,153

AWP26,368

Desert Eagle15,387

P2000 / USP-S13,223

Glock-186,338

SSG 083,477

P2503,345

Knife2,593

Galil AR2,524

Lifetime map wins

13,893inferno

10,093dust2

3,597vertigo

2,903nuke

2,490train

2,166cbble

169office

165lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,583Matches

51%Win rate

0.97Avg K/D

72.9ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	127	47%	0.90	13.7
Dust2	101	46%	0.94	13.9
Inferno	95	69%	1.09	14.8
Anubis	94	52%	0.92	13.3
Ancient	45	38%	0.91	14.2
Nuke	35	43%	0.94	14.8
Overpass	22	55%	0.89	15.7
Vertigo	18	39%	0.92	15.0

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.

13.2%Headshot accuracy

36.4%Accuracy (enemy spotted)

41.0%Spray accuracy

79.1%Counter-strafing

11.0°Preaim

542msReaction time

19.1%T opening success

53.6%CT opening success

0.55Enemies flashed / flash

10.7%Flash assists

12.95HE damage / grenade

15.70Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.2437% — below the 15% mark we flag
Aim Training →
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 19.089% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	19–16	-0.02	13%	13 Aug →
anubis	13–4	0.08	24%	9 Aug →
inferno	13–10	0.04	24%	20 Jul →
dust2	13–9	-0.03	16%	20 Jul →
dust2	9–13	-0.01	4%	20 Jul →
anubis	13–11	-0.02	9%	18 Jul →
cache	13–8	0.07	12%	18 Jul →
cache	16–12	-0.01	15%	17 Jul →
anubis	8–13	-0.04	9%	17 Jul →
dust2	10–13	-0.02	5%	17 Jul →
dust2	13–7	0.05	21%	17 Jul →
inferno	13–11	-0.03	6%	16 Jul →
mirage	10–13	0.01	15%	16 Jul →
inferno	13–4	0.04	12%	15 Jul →
inferno	13–11	-0.01	24%	14 Jul →
inferno	3–13	-0.04	21%	14 Jul →
anubis	7–13	-0.01	19%	14 Jul →
dust2	6–13	-0.00	11%	13 Jul →
inferno	12–16	-0.06	19%	13 Jul →
cache	16–13	-0.01	6%	12 Jul →
dust2	13–7	0.00	11%	12 Jul →
anubis	13–10	-0.02	12%	12 Jul →
dust2	13–5	0.03	8%	10 Jul →
dust2	13–1	-0.02	7%	8 Jul →
dust2	11–13	-0.08	8%	8 Jul →
overpass	13–4	-0.02	17%	5 Jul →
inferno	13–11	-0.01	10%	5 Jul →
dust2	16–19	0.03	13%	5 Jul →
cache	5–13	-0.02	21%	5 Jul →
mirage	13–7	0.00	12%	4 Jul →
dust2	13–2	0.12	19%	4 Jul →
ancient	3–13	-0.06	9%	3 Jul →
nuke	13–11	0.02	27%	3 Jul →
anubis	10–13	-0.04	9%	3 Jul →
mirage	7–13	-0.02	16%	1 Jul →
overpass	6–13	-0.02	15%	29 Jun →
inferno	16–13	-0.01	17%	24 Jun →
dust2	6–0	0.08	25%	24 Jun →
nuke	13–3	0.00	39%	23 Jun →
dust2	13–10	-0.01	23%	23 Jun →
mirage	17–19	-0.00	11%	16 Jun →
anubis	13–9	-0.01	13%	16 Jun →
dust2	13–2	0.09	13%	14 Jun →
inferno	13–11	-0.09	10%	14 Jun →
overpass	16–13	-0.02	10%	13 Jun →
dust2	13–9	0.01	14%	13 Jun →
nuke	9–13	-0.07	11%	13 Jun →
overpass	2–9	-0.00	10%	28 May →
inferno	6–13	-0.03	20%	27 May →
dust2	16–14	-0.01	15%	24 May →
inferno	9–13	-0.07	20%	24 May →
anubis	13–9	-0.04	10%	24 May →
mirage	13–11	-0.02	10%	23 May →
mirage	13–11	-0.03	12%	20 May →
anubis	1–13	-0.07	0%	19 May →
overpass	12–16	0.02	8%	17 May →
mirage	7–13	-0.01	12%	17 May →
ancient	6–13	-0.04	19%	16 May →
anubis	9–13	0.00	14%	16 May →
mirage	15–15	-0.02	14%	16 May →
overpass	13–4	0.04	7%	11 May →
anubis	13–5	0.03	18%	11 May →
overpass	13–16	-0.01	17%	10 May →
inferno	4–13	-0.00	17%	10 May →
mirage	11–13	-0.05	12%	9 May →
dust2	11–13	-0.01	33%	8 May →
mirage	5–13	-0.05	10%	8 May →
anubis	13–7	0.01	8%	8 May →
overpass	13–9	0.04	20%	8 May →
inferno	13–7	-0.01	4%	8 May →
inferno	8–13	-0.09	17%	6 May →
nuke	13–9	-0.04	3%	4 May →
nuke	11–13	0.03	31%	3 May →
cache	13–11	0.05	17%	3 May →
cache	6–13	0.02	27%	3 May →
anubis	11–13	-0.06	9%	2 May →
cache	13–5	0.05	12%	2 May →
mirage	8–13	-0.02	13%	2 May →
mirage	6–13	-0.05	9%	2 May →
dust2	13–5	0.09	19%	2 May →
dust2	8–13	-0.00	27%	30 Apr →
cache	16–12	-0.03	11%	30 Apr →
mirage	9–13	0.05	18%	30 Apr →
cache	13–4	0.03	28%	29 Apr →
cache	11–13	0.01	18%	29 Apr →
cache	13–11	-0.04	14%	27 Apr →
inferno	13–10	0.04	8%	24 Apr →
overpass	5–13	-0.06	6%	24 Apr →
dust2	10–13	-0.06	10%	23 Apr →
dust2	13–6	-0.07	15%	22 Apr →
mirage	13–5	-0.06	20%	21 Apr →
overpass	6–13	-0.04	28%	20 Apr →
inferno	13–11	0.01	15%	20 Apr →
anubis	9–13	-0.05	10%	20 Apr →
train	13–5	-0.02	10%	19 Apr →
inferno	13–11	0.11	21%	18 Apr →
dust2	13–1	0.04	7%	18 Apr →
anubis	13–2	-0.04	4%	17 Apr →
dust2	13–6	0.02	19%	17 Apr →
anubis	8–13	-0.09	7%	17 Apr →