Lucie, wish D🅰M🅴 luck — CS2 Stats

DE76561198134448830[U:1:174183102]Steam profile ↗✓ No bans

1,751Tracked matches52%Win rate2020Tracked since

CSDB Rating5.9 SolidSupport

Premier CS Rating24,214Top 25% of 212,133 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)

CSDB Leaderboard#30402 of 259084 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−376Premier CS Rating · 24,590 → 24,214

Rating over time

Premier CS Rating: 24,214 +2,620 28 Jul – 31 Oct · 39 days played

25,103Peak Premier in tracked matches

39Days played since 2026-07-28

Premier CS Rating

683 below peak (24,897)
+425 over 30 days · improving
+2,369 over 90 days
Next: Red band at 25,000 — 786 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-11
Purple band first seen 2026-09-11

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

Aim60

Positioning59

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLWLWWWWLLW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · +2.1pp headshot accuracy · +32ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 536ms

Last 10

6–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 578ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 562ms

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 (+1.9 against its own average).

Aim6.0

Utility7.1

Positioning5.9

Opening Duels2.6

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 iM 73% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 574ms 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

Aim6.0

Positioning5.9

Utility7.1

Mechanics5.6

Opening Duels3.8

Win Impact5.6

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time581ms+30ms

first ⅓ avg 550ms → last ⅓ avg 581ms

Headshot accuracy17.4%+0.8%

first ⅓ avg 16.6% → last ⅓ avg 17.4%

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 · 13–7 · nuke, 18 Aug →

37%Best headshot accuracy · 13–5 · cache, 25 Oct →

375msFastest reaction time · 4–3 · inferno, 9 Sept →

13–2Biggest win · nuke, 25 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 62% over 13mirageWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	25	15–10	60%	0.02
inferno	B	14	7–7	50%	-0.01
dust2	B	14	7–7	50%	0.03
cache	A	13	8–5	62%	0.01
anubis	B	12	6–6	50%	0.02
ancient	B	11	5–6	45%	0.02
mirage	C	10	4–6	40%	0.00
train	—	1	0–1	0%	0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage 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.

17.1%Headshot accuracy

34.1%Accuracy (enemy spotted)

36.3%Spray accuracy

75.4%Counter-strafing

11.3°Preaim

574msReaction time

45.4%T opening success

45.2%CT opening success

0.64Enemies flashed / flash

10.5%Flash assists

12.03HE damage / grenade

9.64Flashes / match

Recommended for you

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.

40% win rate across 10 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
mirage	14–16	-0.07	13%	31 Oct →
inferno	13–11	0.00	14%	30 Oct →
dust2	10–13	-0.00	11%	30 Oct →
inferno	13–9	-0.01	29%	26 Oct →
nuke	13–2	-0.03	24%	25 Oct →
cache	13–5	0.03	37%	25 Oct →
cache	16–13	-0.02	16%	25 Oct →
mirage	5–13	0.01	20%	25 Oct →
nuke	5–13	-0.07	10%	23 Oct →
dust2	13–5	0.04	20%	23 Oct →
anubis	13–10	-0.03	10%	14 Oct →
anubis	5–13	-0.01	16%	11 Oct →
nuke	4–13	-0.05	6%	11 Oct →
mirage	12–16	-0.00	21%	9 Oct →
train	12–12	0.10	15%	8 Oct →
mirage	13–3	0.06	22%	4 Oct →
inferno	6–13	-0.02	17%	4 Oct →
mirage	6–13	-0.01	29%	2 Oct →
dust2	13–4	0.08	19%	2 Oct →
cache	4–13	0.00	19%	27 Sept →
nuke	6–13	-0.05	9%	27 Sept →
dust2	9–13	-0.04	13%	26 Sept →
cache	8–13	-0.05	13%	26 Sept →
nuke	7–1	0.00	26%	26 Sept →
nuke	13–8	-0.04	9%	26 Sept →
nuke	13–3	-0.02	14%	25 Sept →
dust2	9–13	0.02	15%	25 Sept →
inferno	13–10	0.01	24%	25 Sept →
mirage	13–5	-0.02	12%	24 Sept →
ancient	13–4	0.07	21%	24 Sept →
nuke	13–4	0.03	17%	24 Sept →
cache	13–11	0.03	23%	21 Sept →
mirage	11–13	-0.00	14%	21 Sept →
nuke	13–10	0.06	18%	20 Sept →
cache	13–10	0.01	11%	19 Sept →
nuke	7–13	0.03	23%	18 Sept →
dust2	13–11	0.09	9%	18 Sept →
anubis	7–13	0.10	27%	18 Sept →
nuke	12–12	0.14	25%	18 Sept →
dust2	13–8	0.05	13%	18 Sept →
inferno	13–8	0.03	19%	17 Sept →
ancient	10–13	-0.05	11%	17 Sept →
nuke	13–9	0.07	11%	17 Sept →
anubis	7–13	0.01	9%	9 Sept →
inferno	4–3	0.06	35%	9 Sept →
nuke	7–13	0.04	16%	9 Sept →
anubis	13–9	0.06	12%	8 Sept →
ancient	13–6	0.03	10%	8 Sept →
nuke	13–5	0.04	22%	8 Sept →
dust2	8–13	0.04	16%	8 Sept →
mirage	13–10	0.13	19%	8 Sept →
nuke	12–8	0.14	24%	8 Sept →
anubis	11–13	0.01	10%	4 Sept →
anubis	13–4	0.04	7%	4 Sept →
mirage	13–10	-0.01	13%	4 Sept →
cache	13–7	-0.01	20%	4 Sept →
ancient	9–13	0.05	21%	2 Sept →
inferno	2–13	-0.05	16%	2 Sept →
nuke	13–6	0.04	17%	1 Sept →
anubis	9–13	0.03	14%	1 Sept →
dust2	13–6	-0.02	18%	1 Sept →
nuke	13–11	0.03	18%	30 Aug →
nuke	8–13	0.02	11%	30 Aug →
inferno	9–13	-0.04	13%	30 Aug →
nuke	5–13	-0.07	13%	30 Aug →
inferno	12–4	-0.06	12%	30 Aug →
anubis	2–13	-0.10	20%	29 Aug →
ancient	14–16	0.01	16%	29 Aug →
dust2	9–13	0.07	8%	29 Aug →
ancient	9–13	0.02	17%	27 Aug →
inferno	6–13	-0.01	16%	27 Aug →
cache	13–5	-0.01	18%	27 Aug →
nuke	13–7	-0.01	19%	27 Aug →
cache	13–11	0.03	15%	26 Aug →
ancient	13–7	0.07	10%	26 Aug →
inferno	10–13	0.01	16%	25 Aug →
mirage	5–13	-0.06	13%	25 Aug →
dust2	13–11	0.03	12%	25 Aug →
ancient	7–13	0.09	28%	24 Aug →
inferno	13–3	0.06	13%	24 Aug →
dust2	5–13	-0.02	15%	24 Aug →
ancient	13–11	-0.03	8%	24 Aug →
anubis	13–5	-0.00	19%	23 Aug →
cache	9–13	-0.02	16%	23 Aug →
cache	10–13	0.02	27%	20 Aug →
anubis	13–3	0.03	16%	20 Aug →
ancient	13–10	0.04	18%	19 Aug →
dust2	13–11	0.06	20%	19 Aug →
nuke	13–9	0.06	23%	19 Aug →
nuke	13–7	0.16	13%	18 Aug →
cache	7–13	0.00	18%	18 Aug →
inferno	11–13	0.01	19%	17 Aug →
dust2	11–13	-0.02	16%	16 Aug →
nuke	7–13	-0.04	19%	16 Aug →
nuke	13–9	-0.00	19%	31 Jul →
nuke	13–16	-0.02	13%	31 Jul →
anubis	13–9	0.03	15%	31 Jul →
inferno	8–13	-0.07	16%	31 Jul →
cache	13–3	0.07	21%	31 Jul →
ancient	3–13	-0.02	18%	28 Jul →