Rose🌹 — CS2 Stats

GB76561198300155749[U:1:339890021]Steam profile ↗✓ No bans

483Tracked matches45%Win rate2020Tracked since

2,917Hours in CS

CSDB Rating4.2 DevelopingClutch Specialist

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 483

+9.1ppWin rate · 35.7% → 44.8%

Rating over time

62Days played since 2025-02-27

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 7 median	Level 8 median	vs Level 8
Headshot rate	46.5%	45.7%	46.8%	meets
Shot accuracy	18.8%	12.7%	13.0%	above
Kill/death ratio	0.78	1.05	1.06	0.28 short
Match win rate	44.4%	45.7%	46.3%	1.9% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim61

Positioning34

Utility25

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateWWWWWLLWLL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +2.3pp headshot accuracy · −61ms 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

5–0 · 100% win rate
Avg rating -0.02
Avg headshot accuracy 25%
Avg reaction 566ms

Last 10

6–4 · 60% win rate
Avg rating -0.04
Avg headshot accuracy 23%
Avg reaction 540ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.04
Avg headshot accuracy 22%
Avg reaction 570ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.2 against its own average).

Aim6.1

Utility2.5

Positioning3.4

Opening Duels0.0

Clutch7.6

Limited utility dependenceReliable in 1v1s

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 b1t 98% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 606ms 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

Aim6.1

Positioning3.4

Utility2.5

Mechanics6.4

Opening Duels0.2

Win Impact3.3

Composite 4.2/10 (Developing), 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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time611ms+7ms

first ⅓ avg 604ms → last ⅓ avg 611ms

Headshot accuracy23.7%+2.5%

first ⅓ avg 21.2% → last ⅓ avg 23.7%

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

0.07Best match rating · 4–9 · rooftop, 12 Jan →

52%Best headshot accuracy · 13–5 · train, 22 Mar →

375msFastest reaction time · 13–3 · ancient, 19 Oct →

13–2Biggest win · ancient, 17 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W5Current streak

6–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 83% over 6dust2Weakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	18	11–7	61%	-0.04
nuke	C	16	6–10	38%	-0.04
inferno	B	15	7–8	47%	-0.05
anubis	C	11	4–7	36%	-0.03
train	A	9	5–4	56%	-0.03
vertigo	B	6	3–3	50%	-0.04
overpass	S	6	5–1	83%	-0.02
dust2	D	6	2–4	33%	-0.03
ancient	C	5	2–3	40%	-0.04
cache	—	3	2–1	67%	-0.05
rooftop	—	2	0–2	0%	-0.01
office	—	1	1–0	100%	-0.02
stronghold	—	1	0–1	0%	-0.04
alpine	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,815Lifetime kills

0.78K/D

3,743Matches

44.4%Match win rate

46.5%Headshot % · Top 50% of Level 7 players

18.8%Shot accuracy · Top 10% of Level 7 players

13,924MVPs

2,917Hours (in match)

3,183Bombs planted

5,139Bombs defused

Most-used weapons

AK-4725,006

AWP17,891

M4A4 / M4A1-S17,685

P2000 / USP-S6,801

Glock-185,896

Desert Eagle5,802

SG 5533,953

AUG3,404

MP92,160

MAC-102,118

Lifetime map wins

8,449nuke

5,888inferno

4,249vertigo

2,723dust2

2,602train

220cbble

137office

88lake

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

Faceit stats

Combat

579Matches

46%Win rate

0.73Avg K/D

64.1ADR

44%Headshot %

Clutches & streaks

58%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	56%	0.78	10.9
Anubis	9	56%	0.85	12.9
Nuke	4	0%	0.64	11.0
Ancient	3	67%	1.08	12.7
Dust2	2	100%	0.80	12.0
Overpass	1	100%	0.67	8.0

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.

23.7%Headshot accuracy

28.3%Accuracy (enemy spotted)

31.7%Spray accuracy

78.7%Counter-strafing

9.8°Preaim

606msReaction time

24.1%T opening success

31.7%CT opening success

0.49Enemies flashed / flash

0.0%Flash assists

5.31HE damage / grenade

2.04Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4929 — below the 0.5 mark we flag
Grenade Lineups →
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 24.1386% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	-0.03	33%	25 Oct →
ancient	13–3	-0.05	29%	19 Oct →
mirage	13–7	-0.05	21%	19 Oct →
cache	13–6	-0.04	25%	16 Oct →
nuke	13–9	0.05	19%	16 Oct →
nuke	8–13	-0.06	14%	27 Sept →
inferno	8–13	-0.03	18%	27 Sept →
cache	13–6	-0.06	31%	16 Aug →
cache	7–13	-0.05	28%	13 Aug →
inferno	3–13	-0.08	10%	10 Aug →
mirage	13–11	-0.07	23%	10 Aug →
vertigo	12–12	-0.03	13%	31 Jul →
nuke	13–5	0.02	13%	28 Jul →
mirage	7–13	-0.10	12%	1 Jun →
nuke	11–13	-0.04	27%	31 Mar →
inferno	9–13	-0.03	24%	29 Mar →
nuke	8–13	-0.06	22%	29 Mar →
office	13–9	-0.02	26%	28 Mar →
nuke	5–13	-0.04	16%	27 Mar →
stronghold	7–13	-0.04	32%	22 Mar →
train	13–5	-0.06	52%	22 Mar →
anubis	9–13	-0.05	16%	10 Mar →
anubis	5–13	-0.09	14%	10 Mar →
mirage	4–13	-0.04	37%	8 Mar →
mirage	13–7	-0.03	32%	8 Mar →
mirage	13–4	0.01	20%	6 Mar →
alpine	8–13	-0.07	32%	6 Mar →
inferno	5–13	-0.11	27%	6 Mar →
inferno	9–7	-0.01	38%	3 Mar →
mirage	13–9	0.01	20%	24 Feb →
ancient	6–13	-0.06	29%	23 Feb →
mirage	15–15	-0.08	16%	22 Feb →
anubis	11–13	-0.06	15%	20 Feb →
nuke	13–16	-0.08	18%	20 Feb →
ancient	13–2	0.00	18%	17 Feb →
mirage	11–13	-0.01	16%	10 Feb →
nuke	7–13	-0.07	24%	10 Feb →
inferno	13–11	-0.03	24%	10 Feb →
nuke	3–13	-0.04	10%	1 Feb →
inferno	13–6	-0.00	16%	1 Feb →
anubis	11–13	-0.05	18%	1 Feb →
mirage	3–13	-0.09	14%	31 Jan →
ancient	5–13	-0.09	36%	31 Jan →
anubis	13–9	0.03	19%	20 Jan →
overpass	13–6	0.05	20%	20 Jan →
inferno	13–9	0.04	26%	19 Jan →
nuke	13–9	-0.05	18%	18 Jan →
vertigo	5–9	-0.10	27%	12 Jan →
overpass	9–6	-0.06	30%	12 Jan →
rooftop	4–9	0.07	25%	12 Jan →
rooftop	6–9	-0.09	27%	12 Jan →
anubis	13–2	-0.01	21%	10 Jan →
inferno	8–13	-0.09	13%	21 Dec →
ancient	5–13	-0.00	41%	17 Dec →
inferno	13–5	-0.07	27%	17 Dec →
inferno	15–15	-0.04	25%	24 Nov →
train	11–13	-0.05	26%	24 Nov →
inferno	16–14	-0.04	25%	23 Nov →
nuke	13–6	-0.04	32%	23 Nov →
overpass	13–6	-0.07	9%	23 Nov →
mirage	13–9	-0.02	30%	19 Nov →
nuke	8–8	-0.07	15%	3 Nov →
dust2	13–10	-0.04	26%	29 Oct →
inferno	4–13	-0.11	9%	5 Oct →
vertigo	4–13	-0.05	21%	25 Sept →
nuke	13–6	0.02	31%	25 Sept →
mirage	7–13	-0.02	15%	1 Sept →
anubis	5–13	-0.02	35%	20 Aug →
mirage	13–9	0.01	13%	7 Aug →
dust2	10–13	-0.05	18%	7 Aug →
mirage	7–2	-0.02	40%	5 Aug →
nuke	9–13	-0.08	19%	5 Aug →
inferno	7–13	-0.04	21%	3 Aug →
train	13–10	-0.00	10%	2 Aug →
anubis	8–2	-0.03	25%	2 Aug →
dust2	8–13	-0.03	21%	2 Aug →
mirage	13–9	-0.01	29%	15 Jul →
mirage	6–13	-0.12	19%	6 Jul →
overpass	13–4	0.01	24%	6 Jul →
anubis	10–13	-0.01	21%	4 Jun →
vertigo	13–6	-0.03	33%	4 Jun →
train	12–12	-0.04	23%	29 May →
train	3–13	-0.07	11%	25 May →
train	9–13	-0.01	23%	25 May →
dust2	11–13	-0.05	21%	7 May →
nuke	13–7	-0.08	9%	17 Apr →
anubis	3–13	-0.09	0%	15 Apr →
train	13–6	-0.01	38%	15 Apr →
vertigo	13–8	-0.03	13%	15 Apr →
mirage	13–5	0.02	25%	15 Apr →
overpass	12–12	-0.03	21%	10 Apr →
inferno	13–5	-0.07	25%	10 Apr →
anubis	13–9	0.01	13%	8 Apr →
nuke	12–12	-0.07	19%	7 Apr →
overpass	13–11	-0.05	14%	7 Apr →
dust2	8–13	-0.03	23%	6 Apr →
train	13–7	-0.05	24%	3 Apr →
vertigo	13–10	-0.02	25%	3 Apr →
train	13–10	-0.03	31%	2 Mar →
dust2	13–11	0.05	14%	27 Feb →