Corazon♥ — CS2 Stats

DE76561198057540178[U:1:97274450]Steam profile ↗1 game ban

500Tracked matches45%Win rate2020Tracked since

1,629Hours in CS35Hrs last 2 wks

CSDB Rating4.2 DevelopingSupport

Premier CS Rating9,671Light Blue band · top ~56.5% of ranked players (population est.)

CSDB Leaderboard#180098 of 250059 tracked

WingmanSilver Elite Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 9,671 -1,513 15 May – 5 Oct · 10 days played

13,047Peak Premier in tracked matches

29Days played since 2026-02-04

Premier CS Rating

3,268 below peak (12,939)
Next: Blue band at 10,000 — 329 to go
Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	32.8%	39.9%	42.0%	9.1% short
Shot accuracy	12.4%	7.0%	9.6%	above
Kill/death ratio	0.88	0.92	0.98	0.09 short
Match win rate	42.4%	42.3%	43.8%	1.4% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Blue band 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

Positioning45

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY38–58–4Last 10038%Win rateLWLLWWLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +5.8pp headshot accuracy · −25ms reaction

Win rate −10pp 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 -0.03
Avg headshot accuracy 11%
Avg reaction 509ms

Last 10

4–6 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 17%
Avg reaction 544ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.03
Avg headshot accuracy 14%
Avg reaction 556ms

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).

Aim6.1

Utility4.9

Positioning4.5

Opening Duels0.9

Clutch0.0

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 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 559ms 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

Positioning4.5

Utility4.9

Mechanics4.8

Opening Duels1.6

Win Impact3.3

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time564ms−49ms

first ⅓ avg 613ms → last ⅓ avg 564ms

Headshot accuracy14.3%−1.2%

first ⅓ avg 15.5% → last ⅓ avg 14.3%

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

0.15Best match rating · 13–3 · office, 26 Mar →

50%Best headshot accuracy · 1–7 · dust2, 26 May →

414msFastest reaction time · 13–7 · inferno, 14 Feb →

13–1Biggest win · ancient, 26 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak

8–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 56% over 9cacheWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	16	7–9	44%	-0.02
anubis	B	15	7–8	47%	-0.03
dust2	D	15	4–11	27%	-0.00
cache	D	13	3–10	23%	0.01
ancient	C	12	5–7	42%	0.00
nuke	C	11	4–7	36%	-0.02
mirage	A	9	5–4	56%	-0.03
office	—	3	1–2	33%	0.07
train	—	2	0–2	0%	-0.05
overpass	—	2	1–1	50%	-0.03
poseidon	—	1	1–0	100%	-0.01
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Lifetime stats

37,573Lifetime kills

0.88K/D

2,469Matches

42.4%Match win rate · Top 50% of Light Blue band

32.8%Headshot %

12.4%Shot accuracy · Top 50% of Light Blue band

4,326MVPs

896Hours (in match)

1,575Bombs planted

337Bombs defused

Most-used weapons

AK-476,177

AWP4,792

M4A4 / M4A1-S4,216

Desert Eagle2,910

P2000 / USP-S1,962

MP71,250

MAC-101,225

MP91,206

P901,183

Glock-181,130

Lifetime map wins

3,824office

3,016dust2

2,026nuke

1,999inferno

652train

512vertigo

400lake

247cbble

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

Faceit stats

Combat

15Matches

53%Win rate

0.95Avg K/D

77.0ADR

37%Headshot %

Clutches & streaks

17%1v1 clutch win

29%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	25%	0.68	12.3
Dust2	3	100%	1.21	15.0
Nuke	3	67%	1.18	19.3
Anubis	2	50%	0.85	11.0
Ancient	2	50%	0.87	13.5
Train	1	0%	0.95	18.0

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.

14.4%Headshot accuracy

34.0%Accuracy (enemy spotted)

35.9%Spray accuracy

71.5%Counter-strafing

9.5°Preaim

559msReaction time

42.8%T opening success

29.0%CT opening success

0.55Enemies flashed / flash

6.6%Flash assists

5.01HE damage / grenade

12.13Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3665% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 29.0127% — below the 40% mark we flag

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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	14–16	0.01	12%	5 Oct →
inferno	13–9	0.01	14%	5 Oct →
inferno	6–13	0.01	21%	5 Oct →
dust2	8–13	-0.05	9%	4 Oct →
inferno	13–6	-0.12	0%	4 Oct →
mirage	13–7	-0.04	38%	4 Oct →
dust2	4–13	0.05	35%	4 Oct →
ancient	9–13	-0.07	15%	29 Sept →
mirage	13–10	-0.07	9%	28 Sept →
inferno	4–13	-0.05	19%	28 Sept →
mirage	7–13	-0.07	6%	28 Sept →
dust2	15–15	0.03	17%	28 Sept →
dust2	13–8	-0.00	10%	28 Sept →
anubis	11–13	-0.05	11%	27 Sept →
anubis	7–13	-0.07	8%	27 Sept →
inferno	13–11	-0.04	13%	27 Sept →
dust2	13–6	-0.01	13%	27 Sept →
nuke	13–8	-0.05	15%	27 Sept →
dust2	5–13	-0.03	7%	27 Sept →
inferno	13–9	0.02	13%	27 Sept →
anubis	13–11	-0.01	13%	27 Sept →
nuke	4–9	-0.02	4%	26 Sept →
dust2	4–13	-0.07	10%	26 Sept →
mirage	7–13	-0.02	15%	24 Sept →
ancient	13–10	-0.03	24%	24 Sept →
ancient	13–10	-0.02	15%	24 Sept →
cache	7–13	-0.02	17%	24 Sept →
dust2	11–13	0.02	12%	24 Sept →
nuke	11–13	0.01	25%	24 Sept →
mirage	13–11	0.01	9%	24 Sept →
dust2	5–13	0.07	13%	24 Sept →
cache	13–10	0.01	13%	24 Sept →
poseidon	9–7	-0.01	18%	23 Sept →
anubis	16–13	-0.08	11%	15 Sept →
nuke	13–5	0.00	10%	9 Sept →
nuke	3–13	0.01	14%	8 Sept →
ancient	5–13	0.02	9%	8 Sept →
anubis	7–13	-0.01	7%	8 Sept →
inferno	8–13	-0.06	11%	8 Sept →
inferno	10–13	-0.06	7%	7 Sept →
cache	8–13	-0.10	13%	7 Sept →
anubis	13–11	-0.01	9%	7 Sept →
anubis	5–13	-0.00	23%	21 Aug →
inferno	8–13	-0.01	7%	21 Aug →
nuke	10–13	-0.09	8%	21 Aug →
dust2	5–11	0.02	13%	17 Jul →
anubis	6–13	-0.09	12%	16 Jul →
nuke	10–13	-0.05	17%	16 Jul →
cache	4–5	0.03	17%	8 Jul →
ancient	8–13	-0.05	14%	4 Jun →
anubis	13–10	-0.03	11%	4 Jun →
dust2	13–8	-0.07	10%	3 Jun →
mirage	13–8	-0.04	11%	3 Jun →
anubis	16–13	-0.07	13%	3 Jun →
ancient	6–13	-0.01	18%	3 Jun →
cache	6–13	0.05	13%	30 May →
cache	12–12	0.14	14%	30 May →
cache	7–13	-0.00	7%	30 May →
cache	1–13	-0.02	7%	30 May →
train	12–12	-0.02	16%	30 May →
vertigo	11–13	-0.05	13%	30 May →
office	7–13	0.02	28%	30 May →
inferno	13–3	0.14	24%	30 May →
nuke	13–10	-0.04	8%	26 May →
dust2	1–7	-0.01	50%	26 May →
mirage	5–13	-0.04	11%	25 May →
ancient	13–9	0.01	9%	25 May →
mirage	13–11	-0.02	13%	25 May →
dust2	10–13	-0.03	9%	25 May →
nuke	10–13	-0.02	15%	15 May →
overpass	13–11	-0.03	9%	15 May →
anubis	13–11	-0.01	12%	15 May →
cache	13–10	0.07	11%	15 May →
cache	3–13	-0.06	0%	12 May →
cache	13–4	-0.02	26%	12 May →
cache	4–13	0.01	5%	12 May →
cache	12–12	-0.02	9%	9 May →
inferno	13–2	0.11	12%	26 Mar →
ancient	7–13	-0.02	13%	26 Mar →
dust2	6–13	-0.05	10%	26 Mar →
train	7–13	-0.08	19%	26 Mar →
office	13–3	0.15	8%	26 Mar →
nuke	7–13	0.01	23%	26 Mar →
anubis	13–9	0.09	13%	26 Mar →
ancient	13–1	0.12	12%	26 Mar →
dust2	13–1	0.10	22%	26 Mar →
inferno	2–13	-0.09	11%	26 Mar →
ancient	4–13	0.02	18%	22 Feb →
overpass	3–13	-0.02	26%	15 Feb →
mirage	4–13	0.03	14%	15 Feb →
inferno	7–13	-0.10	16%	15 Feb →
ancient	13–8	0.05	30%	15 Feb →
office	6–13	0.04	26%	15 Feb →
ancient	14–16	-0.03	14%	15 Feb →
anubis	5–13	0.01	12%	14 Feb →
anubis	9–13	-0.06	11%	14 Feb →
nuke	13–10	0.05	16%	14 Feb →
inferno	6–13	-0.01	19%	14 Feb →
inferno	13–7	-0.02	14%	14 Feb →
inferno	1–13	-0.05	46%	4 Feb →