sLevyn — CS2 Stats

76561199874365730[U:1:1914100002]✓ No bans

188Tracked matches55%Win rate2025Tracked since

170Hours in CS0Hrs last 2 wks

CSDB Rating7.2 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim82

Positioning63

Utility76

0–100 skill scores via Leetify.

Recent form

STEADY68–25–7Last 10068%Win rateLLWLLWWWLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.2

Aggression9.7

Utility7.6

Positioning6.3

Opening Duels4.6

Strong CT-side openerEffective flashesHigh utility contribution

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 ZywOo 94% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim8.2

Positioning6.3

Utility7.6

Mechanics7.8

Opening Duels4.6

Win Impact6.7

Composite 7.2/10 (Strong), 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 rating0.05−0.03

first ⅓ avg 0.09 → last ⅓ avg 0.05

Reaction time617ms−18ms

first ⅓ avg 635ms → last ⅓ avg 617ms

Headshot accuracy28.9%+1.6%

first ⅓ avg 27.3% → last ⅓ avg 28.9%

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

0.33Best rating — nuke 13–4

13–0Biggest win — anubis

10Longest win streak

L2Current streak

7–6In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 100% over 8cacheWeakest map · 56% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	13–10	57%	0.07
mirage	S	22	15–7	68%	0.04
inferno	A	12	7–5	58%	0.07
ancient	A	10	6–4	60%	0.04
cache	A	9	5–4	56%	0.08
nuke	S	8	8–0	100%	0.11
overpass	S	7	6–1	86%	0.08
anubis	S	6	6–0	100%	0.07
train	—	2	1–1	50%	0.10
vertigo	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Lifetime stats

5,739Lifetime kills

1.46K/D · Top 5% of tracked players

276Matches

47.8%Match win rate · Top 50% of tracked players

64.7%Headshot % · Top 5% of tracked players

0.0%Shot accuracy

636MVPs

87Hours (in match)

323Bombs planted

79Bombs defused

Most-used weapons

AK-472,463

M4A4 / M4A1-S819

P2000 / USP-S236

P90227

MAC-10211

Desert Eagle201

Galil AR200

Glock-18192

MP9189

MP7173

Lifetime map wins

518dust2

328inferno

253nuke

53train

29vertigo

4ar_baggage

3office

2ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.0%Headshot accuracy

36.5%Accuracy (enemy spotted)

37.0%Spray accuracy

85.3%Counter-strafing

10.4°Preaim

620msReaction time

39.5%T opening success

57.2%CT opening success

0.72Enemies flashed / flash

10.1%Flash assists

13.38HE damage / grenade

19.21Flashes / 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 39.5204% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
ancient	2–13	-0.07	17%	17 Aug →
mirage	10–13	-0.02	29%	21 Jun →
inferno	13–2	0.06	24%	21 Jun →
mirage	7–13	0.06	28%	20 Jun →
inferno	9–13	0.05	25%	12 Jun →
dust2	13–2	0.05	21%	12 Jun →
cache	13–10	0.17	23%	12 Jun →
ancient	13–4	0.11	42%	7 Jun →
dust2	7–13	0.04	18%	7 Jun →
dust2	5–13	-0.02	40%	5 Jun →
overpass	13–9	0.01	36%	31 May →
inferno	6–13	-0.06	25%	31 May →
dust2	11–13	0.08	32%	30 May →
cache	5–13	0.06	29%	30 May →
cache	13–2	0.05	58%	30 May →
anubis	13–2	0.06	36%	30 May →
cache	12–12	0.01	23%	28 May →
mirage	11–13	0.03	31%	25 May →
dust2	13–9	0.10	23%	25 May →
overpass	13–4	0.08	33%	25 May →
inferno	7–13	0.03	25%	24 May →
mirage	13–5	0.08	18%	22 May →
mirage	13–11	0.03	32%	22 May →
mirage	2–13	-0.06	13%	22 May →
inferno	13–5	0.07	23%	20 May →
cache	13–11	0.07	30%	20 May →
cache	5–3	0.13	32%	20 May →
mirage	13–6	0.04	25%	20 May →
cache	8–13	0.11	28%	17 May →
mirage	13–2	0.05	31%	15 May →
ancient	13–4	0.08	39%	15 May →
inferno	13–5	0.13	38%	15 May →
cache	13–6	0.08	32%	8 May →
cache	11–13	0.07	28%	8 May →
dust2	13–10	0.12	27%	6 May →
dust2	12–12	0.10	34%	4 May →
mirage	13–4	0.08	21%	4 May →
ancient	3–13	0.08	18%	27 Apr →
mirage	13–2	0.04	39%	26 Apr →
nuke	13–5	0.08	53%	26 Apr →
nuke	13–2	0.03	32%	22 Apr →
nuke	13–6	0.10	33%	18 Apr →
inferno	13–5	0.05	30%	18 Apr →
inferno	13–2	0.11	48%	12 Apr →
mirage	13–2	0.07	29%	12 Apr →
dust2	13–3	0.23	38%	12 Apr →
anubis	13–9	0.05	28%	5 Apr →
dust2	13–7	0.05	30%	1 Apr →
inferno	12–12	0.08	32%	29 Mar →
ancient	13–6	0.07	30%	29 Mar →
dust2	11–13	0.01	24%	29 Mar →
ancient	13–3	0.12	50%	22 Mar →
dust2	12–12	0.03	23%	21 Mar →
dust2	12–12	0.10	25%	15 Mar →
ancient	5–13	-0.09	30%	15 Mar →
dust2	13–11	0.07	23%	14 Mar →
mirage	5–13	-0.03	27%	14 Mar →
mirage	13–4	0.00	23%	15 Feb →
dust2	2–13	0.02	19%	15 Feb →
inferno	9–13	0.11	23%	14 Feb →
anubis	13–2	0.07	28%	8 Feb →
inferno	13–2	0.08	21%	8 Feb →
mirage	13–6	0.13	33%	8 Feb →
anubis	13–6	0.10	37%	5 Feb →
ancient	13–3	0.11	20%	31 Jan →
mirage	12–12	0.07	24%	24 Jan →
nuke	13–10	0.02	15%	24 Jan →
nuke	13–10	0.11	20%	19 Jan →
overpass	13–1	0.12	32%	18 Jan →
train	13–2	0.19	31%	2 Jan →
mirage	13–11	0.01	19%	2 Jan →
dust2	13–6	0.01	30%	28 Dec →
dust2	13–5	0.02	50%	27 Dec →
dust2	13–4	0.09	34%	21 Dec →
ancient	11–13	0.02	25%	21 Dec →
dust2	8–1	0.02	28%	21 Dec →
anubis	13–4	0.09	30%	10 Dec →
ancient	13–10	0.03	19%	9 Dec →
nuke	13–5	0.08	22%	9 Dec →
dust2	13–6	0.18	25%	9 Dec →
dust2	13–7	0.21	23%	4 Dec →
mirage	13–8	0.00	17%	4 Dec →
mirage	12–12	0.10	36%	1 Dec →
overpass	2–13	0.06	26%	1 Dec →
nuke	13–8	0.13	28%	1 Dec →
mirage	13–6	0.15	22%	1 Dec →
overpass	13–11	0.06	25%	20 Nov →
overpass	13–1	0.13	35%	20 Nov →
mirage	13–4	-0.02	29%	15 Nov →
nuke	13–4	0.33	39%	15 Nov →
train	9–13	0.01	20%	10 Nov →
mirage	13–4	0.12	33%	10 Nov →
overpass	13–8	0.11	25%	10 Nov →
mirage	13–5	0.05	21%	1 Nov →
dust2	11–13	0.01	29%	1 Nov →
dust2	13–5	0.06	21%	24 Oct →
vertigo	13–11	0.16	34%	24 Oct →
inferno	13–7	0.09	22%	18 Oct →
dust2	4–13	0.10	27%	18 Oct →
anubis	13–0	0.02	26%	18 Oct →