LevelDown — CS2 Stats

US76561198119200921[U:1:158935193]Steam profile ↗✓ No bans

2,314Tracked matches50%Win rate2020Tracked since

6,003Hours in CS18Hrs last 2 wks

CSDB Rating5.2 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim67

Positioning46

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWWLLLWTL

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

Player DNA

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

Aim6.7

Aggression5.3

Utility6.0

Positioning4.6

Opening Duels1.4

Clutch3.8

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 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 572ms 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

Aim6.7

Positioning4.6

Utility6.0

Mechanics6.6

Opening Duels1.4

Win Impact5.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time572ms−1ms

first ⅓ avg 573ms → last ⅓ avg 572ms

Headshot accuracy24.0%−5.0%

first ⅓ avg 28.9% → last ⅓ avg 24.0%

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 — dust2 13–2

13–1Biggest win — nuke

6Longest win streak

11–11In matches decided by ≤2 rounds

17Overtime games

Map breakdown

dust2Best map · 62% over 21cacheWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	22	11–11	50%	-0.00
dust2	A	21	13–8	62%	-0.00
inferno	A	15	9–6	60%	-0.00
mirage	C	14	5–9	36%	0.01
ancient	B	12	6–6	50%	-0.01
cache	D	8	1–7	13%	-0.01
anubis	—	3	1–2	33%	0.02
overpass	—	3	2–1	67%	0.01
alpine	—	1	1–0	100%	-0.02
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

156,386Lifetime kills

0.84K/D

5,087Matches

40.5%Match win rate

55.4%Headshot % · Top 25% of tracked players

15.3%Shot accuracy · Top 50% of tracked players

14,233MVPs

4,548Hours (in match)

6,075Bombs planted

3,208Bombs defused

Most-used weapons

AK-4777,465

M4A4 / M4A1-S23,378

Desert Eagle12,318

AWP10,293

P2000 / USP-S8,036

Glock-184,447

Galil AR3,105

FAMAS2,869

Knife2,316

P901,592

Lifetime map wins

12,623dust2

11,812inferno

7,241nuke

6,779vertigo

2,504train

436cbble

326office

94lake

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

Faceit stats

Combat

1,499Matches

49%Win rate

0.89Avg K/D

66.1ADR

55%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	121	50%	0.86	12.8
Nuke	119	48%	0.95	13.2
Dust2	76	46%	0.93	13.7
Inferno	75	53%	0.95	14.5
Vertigo	54	56%	0.96	13.2
Overpass	39	59%	1.11	13.3
Ancient	35	43%	0.78	12.3
Anubis	28	36%	0.85	12.9

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

31.1%Accuracy (enemy spotted)

32.3%Spray accuracy

79.7%Counter-strafing

10.7°Preaim

572msReaction time

41.1%T opening success

30.2%CT opening success

0.56Enemies flashed / flash

7.3%Flash assists

10.17HE damage / grenade

14.52Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 30.1933% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.04	26%	28 Aug →
inferno	14–16	-0.01	17%	27 Aug →
dust2	16–13	-0.07	37%	26 Aug →
inferno	13–10	0.02	25%	25 Aug →
cache	10–13	0.03	35%	21 Aug →
mirage	1–13	0.05	18%	20 Aug →
ancient	8–13	-0.05	26%	20 Aug →
inferno	13–10	-0.07	18%	18 Aug →
mirage	12–12	0.07	23%	15 Aug →
dust2	8–13	-0.07	22%	15 Aug →
inferno	13–9	0.02	32%	14 Aug →
nuke	5–13	-0.03	13%	14 Aug →
dust2	13–6	0.01	34%	14 Aug →
dust2	13–11	0.03	23%	13 Aug →
ancient	8–13	-0.06	15%	13 Aug →
ancient	13–9	-0.03	32%	12 Aug →
ancient	11–13	0.01	20%	11 Aug →
inferno	16–13	0.01	15%	11 Aug →
dust2	8–13	-0.06	31%	10 Aug →
inferno	11–13	-0.01	26%	4 Aug →
nuke	8–13	0.01	39%	4 Aug →
ancient	13–11	0.00	29%	17 Jul →
cache	15–15	-0.07	22%	16 Jul →
dust2	13–4	0.05	33%	16 Jul →
nuke	9–13	-0.03	23%	16 Jul →
ancient	13–11	-0.08	14%	16 Jul →
mirage	14–16	0.00	19%	16 Jul →
mirage	13–7	-0.05	11%	15 Jul →
ancient	13–11	-0.00	24%	15 Jul →
ancient	10–13	-0.07	11%	9 Jul →
cache	13–8	0.01	34%	9 Jul →
inferno	9–13	-0.02	11%	8 Jul →
mirage	11–13	-0.03	33%	7 Jul →
ancient	6–13	0.05	21%	7 Jul →
anubis	12–16	-0.05	21%	7 Jul →
ancient	13–5	0.07	38%	7 Jul →
dust2	10–13	-0.05	18%	6 Jul →
nuke	13–6	0.03	40%	6 Jul →
nuke	13–2	0.01	50%	6 Jul →
anubis	13–2	0.09	30%	4 Jul →
mirage	16–12	0.06	29%	4 Jul →
mirage	16–12	-0.01	18%	3 Jul →
dust2	13–10	-0.02	28%	3 Jul →
mirage	14–16	-0.00	27%	3 Jul →
nuke	13–1	0.07	54%	30 Jun →
cache	7–13	-0.02	32%	26 Jun →
nuke	13–10	0.09	28%	25 Jun →
cache	11–13	0.02	38%	24 Jun →
nuke	13–3	-0.01	33%	24 Jun →
nuke	14–16	0.06	37%	23 Jun →
alpine	13–10	-0.02	25%	22 Jun →
dust2	13–2	0.12	41%	21 Jun →
overpass	8–13	-0.07	19%	18 Jun →
dust2	7–13	0.01	29%	8 Jun →
dust2	13–10	-0.01	37%	8 Jun →
nuke	7–13	-0.06	21%	31 May →
anubis	7–13	0.02	12%	30 May →
nuke	13–11	-0.03	22%	30 May →
inferno	16–13	0.01	39%	29 May →
nuke	13–5	-0.00	32%	29 May →
nuke	13–10	-0.03	38%	27 May →
nuke	4–13	-0.11	38%	22 May →
ancient	4–13	0.00	28%	20 May →
nuke	13–9	-0.01	27%	20 May →
dust2	13–6	0.01	29%	19 May →
mirage	13–6	-0.03	23%	19 May →
nuke	8–13	-0.02	52%	19 May →
mirage	6–13	0.01	30%	19 May →
inferno	13–9	0.07	22%	17 May →
dust2	13–5	0.02	36%	17 May →
inferno	16–13	0.00	21%	15 May →
ancient	13–11	0.03	24%	13 May →
inferno	5–13	-0.01	40%	13 May →
nuke	8–13	-0.02	38%	8 May →
inferno	4–13	-0.09	32%	7 May →
cache	8–13	0.02	26%	7 May →
cache	9–13	-0.04	33%	6 May →
inferno	2–13	-0.08	31%	6 May →
dust2	8–13	0.00	35%	5 May →
nuke	6–13	-0.09	21%	1 May →
cache	10–13	-0.01	41%	29 Apr →
overpass	16–14	0.05	12%	29 Apr →
overpass	16–14	0.05	12%	29 Apr →
dust2	8–13	0.02	23%	28 Apr →
inferno	13–8	0.03	33%	25 Apr →
dust2	13–10	0.03	33%	25 Apr →
nuke	16–13	0.06	26%	24 Apr →
mirage	7–13	-0.00	23%	22 Apr →
dust2	13–1	0.02	16%	21 Apr →
mirage	9–13	0.06	33%	21 Apr →
mirage	13–11	-0.06	24%	18 Apr →
nuke	13–4	0.06	29%	18 Apr →
dust2	14–16	-0.01	40%	18 Apr →
nuke	11–13	-0.02	33%	17 Apr →
nuke	20–22	0.02	27%	15 Apr →
inferno	13–6	0.06	42%	10 Apr →
dust2	8–13	-0.08	15%	19 Feb →
dust2	13–11	-0.01	39%	19 Feb →
mirage	4–13	0.03	26%	13 Feb →
train	5–13	-0.03	39%	12 Feb →