| ✞Discoduen✞ツシ | — CS2 Stats

GL76561198024740722[U:1:64474994]Steam profile ↗VAC banned

2,437Tracked matches48%Win rate2021Tracked since

CSDB Rating4.9 DevelopingPositional Player

Premier CS Rating11,419Blue band · top ~47.4% of ranked players (population est.)

CSDB Leaderboard#163777 of 239719 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

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. 35 days played since 19 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,419 -5,464 19 Jul – 20 Sept · 31 days played

17,267Peak Premier in tracked matches

35Days played since 2026-07-19

Premier CS Rating

5,679 below peak (17,098)
+934 over 30 days · improving
Next: Purple band at 15,000 — 3,581 to go
Reached: Purple band · Blue band · Light Blue band

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

Positioning74

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateLLLWWWWLLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +4.4pp headshot accuracy · +44ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 24%
Avg reaction 642ms

Last 10

5–5 · 50% win rate
Avg rating 0.04
Avg headshot accuracy 24%
Avg reaction 595ms

Last 20

10–10 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 22%
Avg reaction 573ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim5.5

Utility2.8

Positioning7.4

Opening Duels6.4

Clutch6.0

Limited utility dependence

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 donk 70% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Positioning7.4

Utility2.8

Mechanics1.9

Opening Duels8.5

Win Impact4.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time578ms−73ms

first ⅓ avg 651ms → last ⅓ avg 578ms

Headshot accuracy22.2%+1.0%

first ⅓ avg 21.1% → last ⅓ avg 22.2%

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

0.16Best match rating · 13–3 · dust2, 10 Sept →

44%Best headshot accuracy · 3–13 · cache, 29 Jul →

375msFastest reaction time · 13–11 · inferno, 2 Sept →

13–1Biggest win · anubis, 29 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L3Current streak

2–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 63% over 8cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	9–14	39%	0.01
inferno	B	20	9–11	45%	-0.00
nuke	C	19	7–12	37%	-0.01
anubis	C	13	5–8	38%	0.01
ancient	B	12	6–6	50%	0.03
mirage	A	8	5–3	63%	0.03
cache	D	5	1–4	20%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

88Matches

48%Win rate

0.88Avg K/D

72.9ADR

39%Headshot %

Clutches & streaks

50%1v1 clutch win

22%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	24	42%	0.98	14.2
Nuke	13	46%	0.83	14.6
Mirage	10	40%	0.83	12.6
Dust2	8	88%	0.93	13.9
Overpass	7	29%	0.83	13.7
Ancient	7	29%	0.76	13.7
Vertigo	7	43%	0.94	12.7
Anubis	5	40%	0.91	12.0

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.

22.6%Headshot accuracy

33.7%Accuracy (enemy spotted)

30.5%Spray accuracy

58.7%Counter-strafing

9.4°Preaim

585msReaction time

72.7%T opening success

57.8%CT opening success

0.54Enemies flashed / flash

8.1%Flash assists

7.82HE damage / grenade

2.80Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.8036 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	14–16	0.00	20%	20 Sept →
ancient	11–13	0.01	24%	20 Sept →
nuke	7–13	0.01	32%	16 Sept →
mirage	13–6	0.10	25%	16 Sept →
nuke	13–3	0.09	20%	16 Sept →
nuke	13–9	-0.04	38%	14 Sept →
inferno	13–2	0.04	20%	14 Sept →
inferno	5–13	-0.01	9%	14 Sept →
ancient	11–13	0.09	29%	14 Sept →
inferno	13–4	0.13	22%	14 Sept →
dust2	16–14	-0.02	21%	11 Sept →
nuke	2–13	-0.07	3%	11 Sept →
inferno	11–13	0.00	28%	10 Sept →
ancient	13–5	0.04	18%	10 Sept →
anubis	6–13	0.03	17%	10 Sept →
inferno	13–5	0.01	25%	10 Sept →
dust2	13–3	0.16	24%	10 Sept →
ancient	3–13	-0.07	15%	9 Sept →
ancient	7–4	-0.00	33%	9 Sept →
nuke	8–13	-0.01	12%	7 Sept →
dust2	13–7	0.01	41%	7 Sept →
dust2	6–13	0.04	35%	7 Sept →
nuke	16–13	0.05	16%	7 Sept →
dust2	9–13	0.03	12%	5 Sept →
dust2	3–13	0.02	30%	5 Sept →
nuke	13–9	-0.01	12%	5 Sept →
anubis	3–13	0.05	24%	5 Sept →
mirage	13–6	0.02	30%	4 Sept →
dust2	15–15	-0.01	24%	3 Sept →
anubis	7–13	-0.00	18%	2 Sept →
inferno	13–11	-0.06	7%	2 Sept →
ancient	13–9	0.02	15%	2 Sept →
anubis	13–2	0.11	32%	1 Sept →
dust2	4–13	-0.14	14%	31 Aug →
dust2	6–13	-0.04	16%	30 Aug →
nuke	8–13	0.03	27%	26 Aug →
cache	8–13	-0.02	14%	26 Aug →
anubis	13–7	0.04	19%	23 Aug →
inferno	13–3	0.11	11%	23 Aug →
inferno	7–13	-0.07	21%	23 Aug →
inferno	13–9	0.08	20%	23 Aug →
dust2	13–7	-0.00	18%	23 Aug →
dust2	13–8	0.03	14%	21 Aug →
nuke	8–8	-0.02	27%	20 Aug →
inferno	7–13	-0.05	14%	20 Aug →
anubis	7–13	0.01	10%	18 Aug →
ancient	9–13	0.00	15%	18 Aug →
mirage	7–13	-0.05	30%	18 Aug →
inferno	6–13	-0.06	21%	18 Aug →
inferno	10–13	-0.04	6%	16 Aug →
anubis	13–10	-0.03	36%	16 Aug →
dust2	12–12	-0.06	14%	13 Aug →
dust2	13–10	0.02	21%	13 Aug →
cache	1–13	-0.09	6%	13 Aug →
nuke	1–9	-0.09	36%	12 Aug →
cache	11–13	0.00	12%	11 Aug →
nuke	4–13	-0.06	17%	11 Aug →
dust2	5–13	0.08	20%	11 Aug →
dust2	12–16	0.00	24%	9 Aug →
anubis	10–13	-0.01	23%	9 Aug →
nuke	5–13	-0.01	24%	9 Aug →
mirage	13–7	0.12	22%	6 Aug →
dust2	6–13	-0.03	28%	6 Aug →
dust2	12–16	0.03	14%	6 Aug →
mirage	4–13	0.06	21%	6 Aug →
ancient	13–8	0.03	25%	5 Aug →
nuke	13–4	-0.00	26%	5 Aug →
ancient	13–3	0.10	11%	5 Aug →
inferno	13–8	-0.03	14%	5 Aug →
dust2	13–7	0.09	21%	4 Aug →
dust2	12–12	-0.01	16%	4 Aug →
anubis	10–13	-0.01	23%	4 Aug →
mirage	5–13	-0.01	29%	4 Aug →
ancient	13–8	0.07	20%	3 Aug →
anubis	6–13	-0.04	17%	3 Aug →
anubis	13–9	-0.02	19%	2 Aug →
inferno	9–13	-0.00	21%	2 Aug →
anubis	8–13	0.03	21%	2 Aug →
nuke	13–7	0.03	14%	2 Aug →
ancient	10–13	0.06	26%	2 Aug →
mirage	16–13	-0.04	13%	1 Aug →
inferno	10–13	0.00	26%	29 Jul →
inferno	7–13	-0.05	17%	29 Jul →
cache	3–13	0.05	44%	29 Jul →
nuke	8–13	0.00	24%	29 Jul →
anubis	13–1	0.01	24%	29 Jul →
nuke	4–13	-0.05	13%	29 Jul →
inferno	7–13	-0.03	7%	29 Jul →
dust2	7–13	-0.04	15%	29 Jul →
nuke	13–10	-0.00	29%	27 Jul →
mirage	13–4	0.04	35%	27 Jul →
nuke	7–13	0.01	19%	27 Jul →
ancient	9–13	-0.02	16%	26 Jul →
inferno	13–10	0.00	28%	26 Jul →
dust2	13–7	-0.01	19%	21 Jul →
dust2	13–9	-0.05	25%	21 Jul →
inferno	8–13	-0.04	11%	19 Jul →
cache	13–9	0.04	28%	19 Jul →
nuke	9–13	0.06	21%	19 Jul →
inferno	13–10	0.06	33%	19 Jul →