Medusa — CS2 Stats

76561197981130880[U:1:20865152]Steam profile ↗✓ No bans

584Tracked matches54%Win rate2020Tracked since

CSDB Rating5.6 SolidSupport

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

+18Tracked matches · now 584

+0.3ppWin rate · 53.8% → 54.2%

Rating over time

Premier CS Rating: 14,359 +850 1 Jun – 25 Jun · 6 days played

14,796Peak Premier in tracked matches

42Days played since 2026-02-13

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

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Performance scores

Aim55

Positioning45

Utility68

0–100 skill scores via Leetify.

Recent form

COLD42–43–15Last 10042%Win rateLWLLTWTWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +5.2pp headshot accuracy · −44ms reaction

Win rate down 30pp 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

1–3–1 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 20%
Avg reaction 599ms

Last 10

3–5–2 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 19%
Avg reaction 624ms

Last 20

9–6–5 · 45% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 645ms

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 (+2.3 against its own average).

Aim5.5

Utility6.8

Positioning4.5

Opening Duels2.1

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 ZywOo 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 648ms 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

Aim5.5

Positioning4.5

Utility6.8

Mechanics7.5

Opening Duels2.4

Win Impact6.4

Composite 5.6/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time653ms−24ms

first ⅓ avg 678ms → last ⅓ avg 653ms

Headshot accuracy16.5%+1.2%

first ⅓ avg 15.4% → last ⅓ avg 16.5%

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

0.19Best match rating · 13–6 · overpass, 19 Mar →

40%Best headshot accuracy · 0–13 · dust2, 30 Oct →

469msFastest reaction time · 13–5 · dust2, 25 Oct →

13–1Biggest win · ancient, 31 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak

12–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 75% over 8infernoWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	45	15–30	33%	-0.01
inferno	D	12	2–10	17%	-0.01
ancient	A	10	6–4	60%	-0.01
cache	C	9	4–5	44%	-0.02
overpass	S	8	6–2	75%	0.02
nuke	S	6	4–2	67%	-0.02
mirage	C	5	2–3	40%	-0.02
anubis	A	5	3–2	60%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

16.0%Headshot accuracy

34.5%Accuracy (enemy spotted)

31.8%Spray accuracy

83.9%Counter-strafing

11.5°Preaim

648msReaction time

41.8%T opening success

37.6%CT opening success

0.70Enemies flashed / flash

4.4%Flash assists

7.40HE damage / grenade

20.00Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.63% — 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.

17% win rate across 12 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	8–13	0.01	16%	30 Oct →
dust2	13–11	-0.01	15%	30 Oct →
dust2	7–13	-0.01	14%	30 Oct →
dust2	0–13	-0.14	40%	30 Oct →
dust2	12–12	0.04	15%	30 Oct →
dust2	13–11	-0.01	16%	25 Oct →
dust2	12–12	0.01	21%	25 Oct →
dust2	13–5	0.00	17%	25 Oct →
dust2	9–13	-0.04	22%	25 Oct →
cache	4–13	-0.05	17%	24 Oct →
dust2	12–12	-0.00	28%	24 Oct →
dust2	11–13	-0.04	20%	23 Oct →
dust2	13–4	0.01	17%	23 Oct →
dust2	12–12	0.01	12%	22 Oct →
dust2	12–12	-0.06	5%	21 Oct →
ancient	13–2	-0.02	5%	17 Oct →
nuke	13–10	-0.02	5%	17 Oct →
dust2	13–6	-0.02	24%	17 Oct →
dust2	13–5	-0.04	13%	16 Jul →
inferno	13–5	0.06	13%	16 Jul →
inferno	7–13	0.03	13%	13 Jul →
dust2	5–13	-0.04	10%	13 Jul →
cache	13–9	0.04	31%	13 Jul →
ancient	3–13	-0.03	15%	12 Jul →
dust2	13–4	0.05	25%	12 Jul →
dust2	5–13	-0.05	18%	25 Jun →
ancient	5–13	-0.06	13%	25 Jun →
overpass	13–6	0.04	9%	10 Jun →
ancient	13–11	0.01	8%	10 Jun →
mirage	12–12	0.01	15%	10 Jun →
inferno	12–12	-0.05	15%	6 Jun →
dust2	13–6	-0.02	14%	6 Jun →
dust2	6–13	-0.03	30%	5 Jun →
dust2	13–5	-0.04	34%	5 Jun →
inferno	12–12	-0.06	14%	5 Jun →
dust2	9–13	-0.06	7%	4 Jun →
anubis	13–8	-0.08	6%	4 Jun →
nuke	13–10	-0.08	11%	4 Jun →
inferno	2–13	-0.07	11%	3 Jun →
ancient	10–13	-0.02	4%	3 Jun →
inferno	11–13	0.01	19%	3 Jun →
inferno	8–13	-0.03	22%	2 Jun →
nuke	13–8	-0.05	6%	2 Jun →
overpass	13–10	-0.04	14%	1 Jun →
dust2	15–15	-0.04	17%	1 Jun →
ancient	13–1	0.04	7%	31 May →
dust2	11–13	-0.02	14%	31 May →
anubis	13–7	0.01	15%	31 May →
inferno	7–13	-0.00	9%	31 May →
dust2	13–9	-0.06	14%	31 May →
ancient	13–11	-0.06	8%	30 May →
dust2	10–13	-0.01	10%	30 May →
inferno	7–1	0.02	6%	30 May →
mirage	12–12	-0.08	16%	30 May →
overpass	13–9	0.05	18%	29 May →
overpass	13–5	-0.03	9%	29 May →
cache	12–12	-0.02	9%	12 May →
anubis	13–11	0.06	11%	12 May →
ancient	13–11	-0.04	5%	12 May →
mirage	4–13	-0.02	8%	12 May →
anubis	10–13	0.04	18%	12 May →
cache	3–13	-0.03	18%	12 May →
cache	4–13	-0.09	19%	6 May →
dust2	4–13	-0.03	17%	6 May →
inferno	10–13	-0.03	16%	4 May →
dust2	11–13	-0.01	14%	4 May →
cache	13–7	0.04	14%	4 May →
cache	13–11	0.02	11%	4 May →
dust2	13–7	-0.05	24%	4 May →
cache	13–10	0.04	21%	3 May →
dust2	11–13	-0.01	18%	1 May →
nuke	5–13	0.02	19%	1 May →
mirage	13–11	-0.01	7%	1 May →
dust2	15–15	-0.03	24%	29 Apr →
dust2	13–11	0.00	15%	29 Apr →
cache	4–13	-0.09	9%	29 Apr →
dust2	13–11	0.02	20%	24 Apr →
dust2	13–8	0.00	15%	24 Apr →
mirage	13–11	-0.00	13%	24 Apr →
overpass	5–13	0.00	13%	22 Apr →
dust2	10–13	0.02	16%	22 Apr →
anubis	8–13	-0.07	10%	22 Apr →
dust2	5–13	-0.05	11%	19 Apr →
ancient	16–14	0.01	17%	13 Apr →
nuke	13–16	-0.01	10%	12 Apr →
inferno	9–13	-0.06	14%	12 Apr →
dust2	13–9	0.01	27%	12 Apr →
dust2	12–12	0.12	12%	9 Apr →
dust2	10–13	0.01	21%	9 Apr →
overpass	13–6	-0.03	13%	26 Mar →
overpass	13–6	0.19	13%	19 Mar →
nuke	13–9	0.02	15%	14 Mar →
ancient	8–13	0.02	19%	14 Mar →
dust2	12–12	-0.05	13%	9 Mar →
dust2	9–13	-0.03	17%	7 Mar →
overpass	2–13	-0.03	11%	26 Feb →
dust2	12–12	0.02	19%	23 Feb →
dust2	11–13	0.02	13%	14 Feb →
inferno	8–13	0.01	20%	13 Feb →
dust2	9–13	-0.04	10%	13 Feb →