Sven Curly — CS2 Stats

76561197992973254[U:1:32707526]

586Tracked matches38%Win rate2020Tracked since

3,899Hours in CS0Hrs last 2 wks

CSDB Rating4.9 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim66

Positioning43

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWLWWWLLLLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.6

Aggression4.1

Utility4.9

Positioning4.3

Opening Duels0.7

Clutch0.0

Strong CT-side openerLimited 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.

Your pro match

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 45% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim6.6

Positioning4.3

Utility4.9

Mechanics7.0

Opening Duels1.9

Win Impact1.0

Composite 4.9/10 (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-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time609ms+32ms

first ⅓ avg 577ms → last ⅓ avg 609ms

Headshot accuracy20.0%+0.8%

first ⅓ avg 19.2% → last ⅓ avg 20.0%

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.

Highlights

0.12Best rating — mirage 13–3

13–0Biggest win — mirage

5Longest win streak

7–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 60% over 5ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	14–16	47%	0.00
overpass	C	16	7–9	44%	0.02
ancient	C	11	4–7	36%	-0.02
inferno	C	11	4–7	36%	-0.02
nuke	A	11	6–5	55%	0.02
anubis	B	8	4–4	50%	-0.00
cache	B	6	3–3	50%	0.01
dust2	A	5	3–2	60%	0.02
train	—	2	1–1	50%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,504Lifetime kills

0.85K/D

4,811Matches

36.2%Match win rate

41.9%Headshot %

16.1%Shot accuracy · Top 25% of tracked players

7,584MVPs

2,728Hours (in match)

4,326Bombs planted

878Bombs defused

Most-used weapons

AK-4727,821

M4A4 / M4A1-S13,863

AWP7,818

Desert Eagle4,439

P2000 / USP-S4,165

Glock-182,305

P2501,881

UMP-451,866

Five-SeveN1,644

FAMAS1,550

Lifetime map wins

5,521inferno

3,133dust2

2,367train

1,128cbble

831nuke

306vertigo

61italy

50office

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

Faceit stats

Combat

371Matches

49%Win rate

0.98Avg K/D

74.6ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1	0%	0.73	11.0
Anubis	1	100%	0.73	11.0

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.

19.4%Headshot accuracy

32.8%Accuracy (enemy spotted)

32.0%Spray accuracy

81.7%Counter-strafing

9.4°Preaim

603msReaction time

19.8%T opening success

45.4%CT opening success

0.53Enemies flashed / flash

4.0%Flash assists

12.22HE damage / grenade

4.94Flashes / 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
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 19.7885% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

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