OwOLiViUS — CS2 Stats

DE76561198048061472[U:1:87795744]Steam profile ↗✓ No bans

997Tracked matches34%Win rate2020Tracked since

4,457Hours in CS3Hrs last 2 wks

CSDB Rating5.7 SolidSupport

CSDB Leaderboard#66105 of 233983 tracked

Ladder ranks via Leetify

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 16 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,788 +84 2 Aug – 6 Aug · 4 days played

21,090Peak Premier in tracked matches

36Days played since 2026-06-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim82

Positioning55

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWLLLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +9.5pp headshot accuracy · +24ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 478ms

Last 10

4–6 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 24%
Avg reaction 508ms

Last 20

6–14 · 30% win rate
Avg rating 0.00
Avg headshot accuracy 19%
Avg reaction 496ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim8.2

Utility5.8

Positioning5.5

Opening Duels3.1

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like device 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 48% on CT to 33% 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

Aim8.2

Positioning5.5

Utility5.8

Mechanics6.8

Opening Duels2.6

Win Impact0.0

Composite 5.7/10 (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 time509ms−63ms

first ⅓ avg 572ms → last ⅓ avg 509ms

Headshot accuracy19.0%−3.5%

first ⅓ avg 22.5% → last ⅓ avg 19.0%

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.

Personal bests

0.18Best match rating · 13–1 · cache, 17 Jul →

40%Best headshot accuracy · 13–1 · nuke, 30 Jun →

344msFastest reaction time · 0–13 · inferno, 16 Jul →

13–1Biggest win · cache, 17 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak

3–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 70% over 20infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	11–20	35%	0.01
mirage	C	21	9–12	43%	0.01
cache	S	20	14–6	70%	0.03
inferno	D	9	2–7	22%	-0.04
nuke	A	7	4–3	57%	0.01
anubis	C	5	2–3	40%	-0.00
overpass	—	4	3–1	75%	0.05
vertigo	—	2	2–0	100%	-0.00
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,517Lifetime kills

1.30K/D · Top 10% of tracked players

10,416Matches

67.8%Match win rate · Top 5% of tracked players

34.2%Headshot %

19.3%Shot accuracy · Top 5% of tracked players

17,440MVPs

2,648Hours (in match)

4,374Bombs planted

1,890Bombs defused

Most-used weapons

AK-4724,524

AWP20,049

Desert Eagle13,351

M4A4 / M4A1-S11,416

P2000 / USP-S5,980

Glock-184,853

SSG 084,482

P2504,286

UMP-453,636

Tec-93,590

Lifetime map wins

9,804cbble

4,388dust2

2,648inferno

2,336nuke

1,122vertigo

994train

401dust

354aztec

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy

34.5%Accuracy (enemy spotted)

38.1%Spray accuracy

80.6%Counter-strafing

8.4°Preaim

500msReaction time

32.8%T opening success

48.1%CT opening success

0.58Enemies flashed / flash

6.3%Flash assists

8.21HE damage / grenade

13.60Flashes / 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 32.8391% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	0.03	15%	9 Sept →
mirage	13–5	0.06	34%	9 Sept →
nuke	2–13	-0.07	24%	8 Sept →
dust2	7–13	0.02	17%	8 Sept →
dust2	11–13	0.03	18%	7 Sept →
overpass	13–8	0.09	31%	6 Sept →
dust2	13–9	0.03	19%	6 Sept →
mirage	5–13	-0.07	28%	6 Sept →
dust2	11–13	0.03	23%	18 Aug →
mirage	13–8	0.01	30%	18 Aug →
inferno	3–13	-0.06	9%	18 Aug →
overpass	13–8	0.07	13%	17 Aug →
mirage	10–13	-0.03	18%	17 Aug →
dust2	9–13	-0.04	13%	17 Aug →
mirage	11–13	0.09	23%	16 Aug →
inferno	3–13	-0.02	11%	16 Aug →
cache	13–10	0.06	24%	6 Aug →
nuke	4–13	-0.04	9%	6 Aug →
dust2	10–13	-0.05	13%	4 Aug →
mirage	10–13	-0.09	9%	3 Aug →
cache	13–5	0.07	18%	3 Aug →
dust2	13–6	0.02	24%	2 Aug →
dust2	10–13	0.01	18%	2 Aug →
nuke	13–5	0.09	21%	2 Aug →
mirage	0–9	-0.07	33%	2 Aug →
mirage	13–9	-0.03	19%	2 Aug →
cache	4–13	-0.01	9%	2 Aug →
mirage	9–13	-0.01	17%	31 Jul →
cache	15–15	-0.03	16%	30 Jul →
mirage	6–13	-0.09	16%	30 Jul →
dust2	1–13	-0.03	15%	30 Jul →
inferno	3–13	-0.02	22%	29 Jul →
dust2	8–13	-0.00	18%	29 Jul →
dust2	13–3	-0.03	29%	29 Jul →
mirage	8–13	0.10	22%	28 Jul →
dust2	13–8	0.09	17%	27 Jul →
dust2	9–13	-0.04	13%	27 Jul →
mirage	13–10	0.05	15%	27 Jul →
cache	13–7	0.03	4%	27 Jul →
dust2	13–4	0.10	19%	27 Jul →
cache	3–13	-0.04	19%	27 Jul →
inferno	13–3	-0.07	17%	27 Jul →
mirage	3–13	-0.04	18%	26 Jul →
dust2	13–11	-0.03	13%	26 Jul →
inferno	13–7	-0.02	13%	26 Jul →
dust2	1–13	-0.08	13%	24 Jul →
cache	13–4	0.10	17%	24 Jul →
anubis	11–13	0.03	16%	24 Jul →
mirage	6–13	0.01	21%	24 Jul →
dust2	13–3	-0.00	10%	24 Jul →
mirage	13–5	0.09	13%	22 Jul →
mirage	13–4	0.11	12%	20 Jul →
cache	13–10	0.01	9%	19 Jul →
mirage	13–2	0.08	16%	19 Jul →
dust2	13–7	-0.00	20%	19 Jul →
overpass	13–11	0.05	10%	18 Jul →
cache	11–13	0.02	18%	17 Jul →
cache	13–1	0.18	23%	17 Jul →
dust2	9–13	0.05	12%	17 Jul →
inferno	5–13	-0.06	17%	17 Jul →
cache	13–2	0.02	21%	17 Jul →
inferno	0–13	-0.05	13%	16 Jul →
dust2	9–13	0.05	21%	16 Jul →
cache	13–7	0.06	19%	16 Jul →
mirage	11–13	-0.03	12%	15 Jul →
cache	13–6	0.01	30%	15 Jul →
dust2	9–13	-0.05	21%	15 Jul →
dust2	10–13	0.13	26%	14 Jul →
anubis	7–13	-0.04	15%	13 Jul →
inferno	4–13	-0.05	9%	13 Jul →
mirage	13–9	-0.02	28%	13 Jul →
cache	13–6	0.01	23%	12 Jul →
dust2	10–13	0.01	18%	12 Jul →
cache	13–6	0.01	16%	6 Jul →
anubis	13–6	-0.02	17%	6 Jul →
dust2	13–7	0.03	24%	6 Jul →
cache	13–10	0.02	20%	6 Jul →
dust2	13–2	0.10	33%	5 Jul →
mirage	13–1	0.14	27%	5 Jul →
dust2	10–13	-0.07	31%	2 Jul →
train	12–12	-0.02	12%	1 Jul →
anubis	9–13	-0.02	20%	1 Jul →
dust2	12–12	0.00	24%	1 Jul →
nuke	13–4	0.04	16%	1 Jul →
cache	12–12	0.00	19%	1 Jul →
dust2	10–13	0.03	26%	1 Jul →
anubis	13–6	0.05	16%	1 Jul →
nuke	13–1	0.08	40%	30 Jun →
mirage	12–12	-0.04	31%	30 Jun →
vertigo	13–8	0.02	35%	30 Jun →
nuke	13–4	-0.01	35%	30 Jun →
vertigo	13–9	-0.02	8%	30 Jun →
dust2	9–13	-0.01	30%	30 Jun →
cache	12–12	0.05	23%	29 Jun →
inferno	10–13	-0.05	24%	29 Jun →
nuke	8–13	-0.02	30%	29 Jun →
dust2	13–4	0.05	26%	29 Jun →
cache	13–9	0.02	10%	17 Jun →
cache	13–11	0.02	13%	16 Jun →
overpass	8–13	-0.00	20%	16 Jun →