HOES HUMBLER — CS2 Stats

AF76561199400224022[U:1:1439958294]Steam profile ↗✓ No bans

4,644Tracked matches62%Win rate2023Tracked since

3,381Hours in CS

CSDB Rating8.2 StrongOpening Duellist

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,290), 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 4 median	Level 5 median	vs Level 5
Headshot rate	70.1%	42.7%	43.7%	above
Shot accuracy	3.2%	11.3%	12.0%	8.8% short
Kill/death ratio	3.14	0.99	1.02	above
Match win rate	42.2%	43.9%	44.7%	2.5% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim97

Positioning79

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY52–34–14Last 10052%Win rateLWLLWTWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −2.4pp headshot accuracy · −12ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 30%
Avg reaction 424ms

Last 10

6–3–1 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 28%
Avg reaction 457ms

Last 20

9–9–2 · 45% win rate
Avg rating 0.03
Avg headshot accuracy 29%
Avg reaction 463ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.5 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.7

Utility4.7

Positioning7.9

Opening Duels8.2

Clutch6.0

Sharp aimerEffective flashes

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 s1mple 84% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower 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

Aim. Aim score of 97 — the mechanical foundation is a clear strength.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 68% T opening-duel success — entries that actually open the round.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.7

Positioning7.9

Utility4.7

Mechanics7.6

Opening Duels9.6

Win Impact8.8

Composite 8.2/10 (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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time467ms−15ms

first ⅓ avg 482ms → last ⅓ avg 467ms

Headshot accuracy30.3%+8.8%

first ⅓ avg 21.6% → last ⅓ avg 30.3%

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

0.20Best match rating · 13–5 · dust2, 2 Oct →

82%Best headshot accuracy · 11–13 · dust2, 2 Oct →

281msFastest reaction time · 8–1 · dust2, 4 Oct →

13–0Biggest win · dust2, 13 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak

6–5In matches decided by ≤2 rounds

Lifetime stats

505,383Lifetime kills

3.14K/D · Top 1% of Level 4 players

7,268Matches

42.2%Match win rate

70.1%Headshot % · Top 1% of Level 4 players

3.2%Shot accuracy

13,511MVPs

3,381Hours (in match)

4,657Bombs planted

1,639Bombs defused

Most-used weapons

AK-47236,248

AWP116,846

P2000 / USP-S66,465

Desert Eagle32,504

Glock-1824,806

M4A4 / M4A1-S7,964

Zeus x276,563

XM10143,155

SSG 082,164

SG 5531,989

Lifetime map wins

62,611dust2

300inferno

159nuke

50office

30vertigo

6train

3italy

1bank

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

Faceit stats

Combat

3Matches

0%Win rate

0.81Avg K/D

64.1ADR

34%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	0%	1.10	15.0
Mirage	1	0%	0.23	3.0

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.

31.4%Headshot accuracy

39.9%Accuracy (enemy spotted)

37.2%Spray accuracy

84.4%Counter-strafing

6.8°Preaim

463msReaction time

67.6%T opening success

69.0%CT opening success

0.78Enemies flashed / flash

4.3%Flash assists

4.60HE damage / grenade

10.42Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.03	62%	16 Oct →
dust2	13–8	0.01	16%	16 Oct →
dust2	1–13	-0.01	19%	14 Oct →
dust2	3–13	-0.03	22%	14 Oct →
dust2	13–9	0.04	31%	13 Oct →
dust2	12–12	0.13	28%	13 Oct →
dust2	13–5	0.08	4%	13 Oct →
dust2	13–8	0.06	23%	13 Oct →
dust2	13–4	0.10	47%	13 Oct →
dust2	10–3	-0.01	25%	13 Oct →
dust2	13–0	0.11	27%	13 Oct →
dust2	13–8	0.08	27%	13 Oct →
dust2	8–13	0.05	29%	13 Oct →
dust2	7–13	-0.02	75%	12 Oct →
dust2	13–7	0.09	11%	12 Oct →
dust2	10–13	-0.04	18%	12 Oct →
dust2	6–13	0.02	13%	12 Oct →
dust2	5–13	-0.01	18%	12 Oct →
dust2	7–13	0.04	50%	11 Oct →
dust2	12–12	-0.01	33%	11 Oct →
dust2	13–11	0.06	43%	11 Oct →
dust2	13–8	-0.00	33%	11 Oct →
dust2	12–12	0.06	45%	11 Oct →
dust2	12–12	0.07	30%	10 Oct →
dust2	10–13	-0.04	43%	10 Oct →
dust2	13–8	0.03	17%	10 Oct →
dust2	13–7	0.01	75%	10 Oct →
dust2	13–4	0.06	15%	9 Oct →
dust2	13–3	0.00	33%	9 Oct →
dust2	13–5	-0.02	13%	9 Oct →
dust2	13–9	0.03	22%	9 Oct →
dust2	13–9	0.02	28%	9 Oct →
dust2	13–8	0.06	25%	9 Oct →
dust2	12–12	-0.06	29%	8 Oct →
dust2	13–9	0.02	30%	8 Oct →
dust2	13–8	-0.01	0%	8 Oct →
dust2	13–2	0.08	44%	8 Oct →
dust2	13–6	0.00	50%	8 Oct →
dust2	13–3	0.01	18%	7 Oct →
dust2	13–5	0.08	50%	7 Oct →
dust2	13–9	0.07	33%	7 Oct →
dust2	6–13	0.09	26%	7 Oct →
dust2	13–8	0.02	33%	7 Oct →
dust2	7–13	0.02	38%	7 Oct →
dust2	9–13	0.04	9%	7 Oct →
dust2	4–13	-0.02	17%	6 Oct →
dust2	13–9	-0.01	17%	6 Oct →
dust2	13–7	0.02	29%	6 Oct →
dust2	10–13	-0.01	36%	6 Oct →
dust2	12–12	-0.01	0%	6 Oct →
dust2	0–13	-0.00	45%	6 Oct →
dust2	3–13	-0.02	17%	5 Oct →
dust2	12–12	0.00	17%	5 Oct →
dust2	13–4	0.01	44%	5 Oct →
dust2	10–13	-0.00	50%	4 Oct →
dust2	12–12	0.04	25%	4 Oct →
dust2	8–1	0.10	0%	4 Oct →
dust2	11–13	-0.05	25%	4 Oct →
dust2	8–13	-0.09	0%	4 Oct →
dust2	13–9	0.08	29%	4 Oct →
dust2	11–13	-0.02	22%	4 Oct →
dust2	3–13	0.03	25%	4 Oct →
dust2	9–13	-0.01	29%	3 Oct →
dust2	13–8	-0.02	30%	3 Oct →
dust2	5–13	-0.01	18%	3 Oct →
dust2	13–6	0.02	18%	3 Oct →
dust2	13–1	0.09	25%	3 Oct →
dust2	12–12	-0.02	20%	2 Oct →
dust2	1–13	-0.03	22%	2 Oct →
dust2	13–11	0.06	0%	2 Oct →
dust2	13–5	0.20	27%	2 Oct →
dust2	11–13	0.09	82%	2 Oct →
dust2	13–11	0.02	25%	2 Oct →
dust2	12–12	0.01	7%	2 Oct →
dust2	13–11	-0.02	25%	1 Oct →
dust2	12–12	0.01	35%	1 Oct →
dust2	13–3	0.10	10%	1 Oct →
dust2	9–2	0.06	9%	1 Oct →
dust2	13–9	0.03	0%	1 Oct →
dust2	13–3	-0.08	0%	30 Sept →
dust2	13–11	-0.03	18%	30 Sept →
dust2	12–12	0.03	31%	30 Sept →
dust2	9–13	-0.00	19%	30 Sept →
dust2	5–13	0.10	7%	30 Sept →
dust2	8–13	0.02	29%	30 Sept →
dust2	13–7	0.04	36%	30 Sept →
dust2	13–6	0.07	33%	30 Sept →
dust2	13–10	0.02	27%	30 Sept →
dust2	12–12	-0.04	18%	30 Sept →
dust2	6–13	0.01	42%	24 Sept →
dust2	11–13	0.08	18%	24 Sept →
dust2	12–12	0.01	14%	24 Sept →
dust2	13–2	0.07	9%	23 Sept →
dust2	13–3	-0.00	7%	23 Sept →
dust2	6–13	0.11	32%	23 Sept →
dust2	13–6	0.07	30%	23 Sept →
dust2	2–1	-0.12	0%	23 Sept →
dust2	9–13	-0.03	31%	23 Sept →
dust2	13–7	0.19	47%	23 Sept →
dust2	11–13	0.07	0%	23 Sept →