Sloth — CS2 Stats

US76561198044357074[U:1:84091346]Steam profile ↗

708Tracked matches56%Win rate2020Tracked since

4,043Hours in CS7Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating23,243Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

CSDB Leaderboard#6752 of 30164 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median	Level 9 median	vs Level 9
Headshot rate	52.4%	47.2%	49.0%	above
Shot accuracy	15.4%	12.3%	13.1%	above
Kill/death ratio	1.51	1.07	1.08	above
Match win rate	48.3%	46.3%	46.9%	above

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim83

Positioning63

Utility85

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLWLLLLWWTW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.3

Aggression7.5

Utility8.5

Positioning6.3

Opening Duels3.0

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 b1t 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: higher 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

Strengths

Utility. Utility score of 85 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning6.3

Utility8.5

Mechanics7.5

Opening Duels3.0

Win Impact6.9

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.05

Reaction time569ms−15ms

first ⅓ avg 584ms → last ⅓ avg 569ms

Headshot accuracy21.1%+6.5%

first ⅓ avg 14.6% → last ⅓ avg 21.1%

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

0.16Best rating — inferno 13–8

13–1Biggest win — mirage

7Longest win streak

3–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 59% over 22ancientWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	15–15	50%	0.03
inferno	A	22	13–9	59%	0.06
cache	B	16	8–8	50%	0.03
ancient	D	14	4–10	29%	0.02
dust2	B	6	3–3	50%	0.03
overpass	B	6	3–3	50%	0.02
anubis	—	3	1–2	33%	0.05
nuke	—	1	0–1	0%	0.04
warden	—	1	0–1	0%	-0.03
train	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,714Lifetime kills

1.51K/D · Top 10% of Level 8 players

4,684Matches

48.3%Match win rate · Top 50% of Level 8 players

52.4%Headshot % · Top 50% of Level 8 players

15.4%Shot accuracy · Top 50% of Level 8 players

7,413MVPs

3,286Hours (in match)

3,890Bombs planted

1,191Bombs defused

Most-used weapons

AK-4741,504

M4A4 / M4A1-S18,280

AWP9,459

P2000 / USP-S5,107

Desert Eagle4,279

P2503,221

Negev3,036

Glock-182,842

Five-SeveN1,907

G3SG11,831

Lifetime map wins

8,388inferno

3,922dust2

1,349train

1,196cbble

1,160nuke

228vertigo

120office

86dust

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

Faceit stats

Combat

22Matches

36%Win rate

1.19Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWL

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.

20.5%Headshot accuracy

36.2%Accuracy (enemy spotted)

45.1%Spray accuracy

83.6%Counter-strafing

9.7°Preaim

572msReaction time

33.0%T opening success

51.3%CT opening success

0.75Enemies flashed / flash

13.2%Flash assists

16.00HE damage / grenade

16.69Flashes / 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 33.0027% — 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.

29% win rate across 14 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	14–16	0.06	23%	19 Aug →
dust2	13–6	0.02	11%	19 Aug →
inferno	9–13	0.04	17%	18 Aug →
cache	5–13	0.01	29%	18 Aug →
dust2	6–13	0.06	32%	16 Aug →
cache	10–13	0.04	18%	16 Aug →
cache	13–10	0.06	19%	12 Aug →
mirage	13–9	-0.01	29%	12 Aug →
mirage	15–15	0.03	9%	11 Aug →
inferno	13–3	0.14	26%	11 Aug →
cache	9–13	0.02	18%	5 Aug →
mirage	8–13	0.01	11%	5 Aug →
anubis	9–13	0.08	16%	5 Aug →
inferno	6–13	0.04	17%	5 Aug →
cache	13–10	0.12	27%	25 Jul →
mirage	13–4	0.09	29%	25 Jul →
inferno	13–8	0.07	26%	23 Jul →
cache	13–10	0.03	21%	23 Jul →
mirage	16–13	0.03	11%	23 Jul →
anubis	13–3	0.11	18%	21 Jul →
inferno	13–7	0.04	13%	21 Jul →
mirage	7–13	-0.01	16%	18 Jul →
cache	12–6	0.01	25%	18 Jul →
mirage	15–15	0.07	26%	16 Jul →
cache	13–7	0.08	28%	16 Jul →
inferno	13–4	0.09	19%	16 Jul →
cache	15–15	-0.00	15%	9 Jul →
inferno	9–13	-0.00	23%	9 Jul →
cache	13–9	0.02	21%	9 Jul →
mirage	8–13	0.02	33%	9 Jul →
inferno	13–8	0.16	17%	5 Jul →
nuke	4–13	0.04	24%	5 Jul →
inferno	11–13	0.06	29%	5 Jul →
mirage	13–1	0.09	22%	5 Jul →
ancient	15–15	0.04	19%	5 Jul →
dust2	13–7	0.03	14%	30 Jun →
inferno	13–7	0.04	17%	30 Jun →
ancient	4–13	-0.01	5%	30 Jun →
dust2	8–13	0.04	19%	29 Jun →
ancient	13–9	0.06	20%	29 Jun →
mirage	13–3	0.13	16%	29 Jun →
mirage	13–9	0.01	18%	23 Jun →
anubis	8–13	-0.03	18%	23 Jun →
ancient	11–13	0.07	13%	23 Jun →
mirage	13–5	0.05	23%	23 Jun →
mirage	7–12	-0.02	27%	14 Jun →
inferno	6–13	0.05	19%	14 Jun →
warden	9–13	-0.03	19%	26 May →
inferno	13–10	0.10	16%	26 May →
cache	8–13	0.05	16%	3 May →
cache	13–9	0.04	25%	2 May →
cache	8–13	-0.00	16%	2 May →
cache	13–2	0.09	20%	2 May →
cache	5–13	0.03	31%	29 Apr →
cache	2–13	-0.06	30%	29 Apr →
mirage	10–13	-0.00	9%	11 Apr →
ancient	13–4	0.06	6%	11 Apr →
inferno	10–13	0.03	10%	11 Apr →
overpass	13–6	0.00	16%	11 Apr →
mirage	5–13	-0.02	5%	10 Apr →
mirage	13–7	0.13	20%	10 Apr →
inferno	7–13	0.07	18%	10 Apr →
inferno	13–7	0.02	20%	6 Apr →
mirage	13–6	0.09	18%	6 Apr →
inferno	13–4	0.10	21%	5 Apr →
mirage	3–13	0.06	11%	5 Apr →
dust2	5–13	0.01	31%	5 Apr →
mirage	13–9	0.03	14%	3 Apr →
inferno	13–5	0.04	9%	3 Apr →
ancient	7–13	-0.00	20%	3 Apr →
mirage	13–11	0.02	17%	29 Mar →
ancient	12–12	0.06	15%	29 Mar →
inferno	13–6	0.07	22%	16 Mar →
overpass	13–16	0.01	15%	16 Mar →
mirage	13–7	0.08	20%	16 Mar →
overpass	13–4	0.01	13%	18 Dec →
ancient	13–6	-0.02	16%	18 Dec →
inferno	13–7	0.03	21%	18 Nov →
mirage	11–13	-0.06	10%	18 Nov →
ancient	7–13	0.03	17%	8 Nov →
inferno	9–13	-0.03	18%	8 Nov →
mirage	10–13	0.03	21%	7 Nov →
mirage	13–9	0.02	21%	26 Oct →
overpass	14–16	0.04	17%	26 Oct →
mirage	15–15	0.04	10%	5 Oct →
ancient	11–13	-0.00	15%	13 Sept →
inferno	15–15	0.03	13%	13 Sept →
train	13–10	0.07	21%	23 Aug →
mirage	13–4	-0.02	15%	23 Aug →
inferno	13–6	0.04	11%	23 Aug →
mirage	2–0	0.02	0%	23 Aug →
ancient	13–11	-0.05	11%	23 Aug →
dust2	16–13	-0.01	11%	22 Aug →
ancient	8–13	0.02	13%	22 Aug →
overpass	13–4	0.05	16%	22 Aug →
mirage	8–13	-0.03	12%	22 Aug →
overpass	11–13	0.02	12%	17 Aug →
ancient	7–13	0.02	12%	17 Aug →
ancient	3–13	-0.05	16%	17 Aug →
mirage	7–13	-0.03	11%	17 Aug →