❥LeCheatBaum — CS2 Stats

76561198071872086[U:1:111606358]Steam profile ↗✓ No bans

1,683Tracked matches78%Win rate2020Tracked since

8,980Hours in CS65Hrs last 2 wks

CSDB Rating7.8 StrongPositional Player

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=13,483), 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	62.2%	46.8%	48.3%	above
Shot accuracy	18.1%	13.0%	13.2%	above
Kill/death ratio	1.53	1.06	1.07	above
Match win rate	30.7%	46.3%	46.9%	16.2% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim89

Positioning77

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY55–28–17Last 10055%Win rateTTTWWWWLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · +12ms reaction

Win rate down 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

2–0–3 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 24%
Avg reaction 560ms

Last 10

5–2–3 · 50% win rate
Avg rating 0.04
Avg headshot accuracy 21%
Avg reaction 521ms

Last 20

13–3–4 · 65% win rate
Avg rating 0.06
Avg headshot accuracy 21%
Avg reaction 515ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.9

Utility4.3

Positioning7.7

Opening Duels6.4

Sharp aimerStrong T-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.

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 91% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

T openings. 76% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 76% on T to 47% on CT — first contacts on the defending side are being lost.

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

Aim8.9

Positioning7.7

Utility4.3

Mechanics8.2

Opening Duels7.1

Win Impact10.0

Composite 7.8/10 (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 rating0.04−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time519ms−38ms

first ⅓ avg 557ms → last ⅓ avg 519ms

Headshot accuracy22.9%−1.6%

first ⅓ avg 24.5% → last ⅓ avg 22.9%

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.

Personal bests

0.21Best match rating · 13–7 · inferno, 6 Aug →

57%Best headshot accuracy · 8–2 · anubis, 14 Sept →

398msFastest reaction time · 8–2 · anubis, 14 Sept →

13–0Biggest win · inferno, 11 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

3–3In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 70% over 20cacheWeakest map · 50% over 28

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	41	22–19	54%	0.04
cache	B	28	14–14	50%	0.04
inferno	S	20	14–6	70%	0.04
ancient	—	4	0–4	0%	0.02
anubis	—	2	2–0	100%	0.04
mirage	—	2	1–1	50%	0.05
overpass	—	1	1–0	100%	0.01
train	—	1	1–0	100%	0.08
vertigo	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Lifetime stats

515,233Lifetime kills

1.53K/D · Top 5% of Level 8 players

13,468Matches

30.7%Match win rate

62.2%Headshot % · Top 10% of Level 8 players

18.1%Shot accuracy · Top 10% of Level 8 players

28,585MVPs

8,251Hours (in match)

7,819Bombs planted

2,959Bombs defused

Most-used weapons

AK-47246,599

M4A4 / M4A1-S79,077

Desert Eagle76,304

AWP28,480

P2000 / USP-S24,482

Glock-188,056

SSG 085,963

MAC-103,776

MP93,719

Galil AR3,476

Lifetime map wins

25,877dust2

8,717inferno

891cbble

792vertigo

741nuke

536train

252lake

220safehouse

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

Faceit stats

Combat

177Matches

57%Win rate

1.34Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

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.

22.3%Headshot accuracy

36.3%Accuracy (enemy spotted)

39.9%Spray accuracy

86.7%Counter-strafing

8.3°Preaim

517msReaction time

76.1%T opening success

47.0%CT opening success

0.45Enemies flashed / flash

6.0%Flash assists

9.41HE damage / grenade

3.77Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.451 — below the 0.5 mark we flag
Grenade Lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	0.04	27%	19 Sept →
cache	12–12	-0.00	26%	19 Sept →
cache	12–12	0.04	18%	19 Sept →
inferno	13–5	0.11	24%	19 Sept →
cache	13–3	0.03	25%	19 Sept →
cache	13–3	0.10	20%	19 Sept →
cache	13–9	0.02	16%	19 Sept →
cache	8–13	0.05	20%	19 Sept →
dust2	13–7	0.08	16%	18 Sept →
cache	8–13	-0.02	18%	18 Sept →
dust2	13–2	0.12	36%	18 Sept →
dust2	13–11	0.06	17%	18 Sept →
dust2	12–12	0.04	27%	18 Sept →
inferno	13–9	0.13	15%	17 Sept →
inferno	13–5	0.08	9%	17 Sept →
cache	13–5	0.01	28%	15 Sept →
cache	13–4	0.05	17%	15 Sept →
cache	9–13	0.09	19%	15 Sept →
dust2	13–8	0.05	24%	15 Sept →
dust2	13–7	0.04	26%	15 Sept →
cache	12–12	-0.01	21%	15 Sept →
inferno	10–3	-0.01	33%	15 Sept →
ancient	11–13	0.00	26%	14 Sept →
ancient	9–13	-0.00	28%	14 Sept →
inferno	13–9	0.04	25%	14 Sept →
dust2	12–12	-0.01	19%	14 Sept →
inferno	13–5	0.05	20%	14 Sept →
cache	13–10	0.02	16%	14 Sept →
anubis	8–2	-0.00	57%	14 Sept →
inferno	12–12	-0.05	21%	14 Sept →
cache	13–2	-0.01	5%	13 Sept →
inferno	13–2	0.05	25%	13 Sept →
dust2	9–13	0.01	34%	13 Sept →
cache	4–13	0.02	31%	13 Sept →
dust2	13–1	0.02	19%	13 Sept →
dust2	13–10	0.01	22%	12 Sept →
cache	12–12	0.15	26%	12 Sept →
dust2	12–12	0.02	20%	12 Sept →
mirage	13–11	0.06	23%	12 Sept →
cache	13–4	0.12	19%	12 Sept →
dust2	13–4	0.04	19%	11 Sept →
anubis	13–4	0.08	15%	11 Sept →
ancient	5–13	-0.05	16%	11 Sept →
inferno	3–13	0.03	24%	11 Sept →
dust2	10–13	0.06	23%	11 Sept →
dust2	13–4	0.07	27%	11 Sept →
dust2	7–13	-0.05	18%	11 Sept →
cache	5–13	-0.07	18%	11 Sept →
inferno	13–0	0.07	36%	11 Sept →
cache	12–12	0.04	22%	10 Sept →
cache	13–10	0.02	31%	10 Sept →
dust2	13–4	0.13	22%	10 Sept →
cache	8–0	0.06	27%	10 Sept →
cache	13–5	0.13	29%	10 Sept →
dust2	12–12	0.07	25%	10 Sept →
dust2	13–4	0.05	18%	10 Sept →
dust2	13–5	0.03	18%	10 Sept →
dust2	11–13	0.06	26%	10 Sept →
cache	13–10	0.01	31%	10 Sept →
inferno	13–10	-0.01	20%	9 Sept →
dust2	10–13	0.01	23%	9 Sept →
dust2	12–12	0.02	19%	9 Sept →
dust2	5–13	0.02	21%	8 Sept →
overpass	13–9	0.01	24%	8 Sept →
dust2	13–11	-0.05	34%	8 Sept →
inferno	7–0	-0.02	5%	8 Sept →
cache	7–13	0.08	20%	8 Sept →
cache	6–13	0.02	25%	8 Sept →
inferno	13–8	0.08	23%	7 Sept →
train	13–7	0.08	12%	7 Sept →
dust2	13–3	-0.00	15%	7 Sept →
cache	8–13	-0.00	28%	7 Sept →
inferno	12–12	0.01	15%	7 Sept →
ancient	12–12	0.11	22%	7 Sept →
dust2	13–7	0.12	34%	7 Sept →
dust2	13–8	0.08	30%	7 Sept →
dust2	12–12	0.06	29%	6 Sept →
dust2	12–12	0.07	22%	5 Sept →
dust2	13–8	0.06	27%	5 Sept →
cache	9–13	-0.04	19%	5 Sept →
dust2	13–9	0.07	28%	4 Sept →
dust2	13–10	0.13	27%	7 Aug →
inferno	13–9	-0.01	19%	7 Aug →
inferno	5–13	-0.02	26%	7 Aug →
inferno	13–7	0.21	20%	6 Aug →
mirage	15–15	0.04	16%	6 Aug →
cache	13–5	0.19	23%	5 Aug →
dust2	13–5	0.04	33%	5 Aug →
dust2	13–5	0.08	17%	5 Aug →
inferno	4–13	0.03	19%	5 Aug →
dust2	4–13	-0.02	39%	4 Aug →
dust2	16–13	0.05	29%	4 Aug →
inferno	3–9	-0.13	57%	4 Aug →
vertigo	7–9	0.04	18%	4 Aug →
dust2	4–13	-0.06	23%	4 Aug →
inferno	13–6	0.12	22%	3 Aug →
dust2	6–13	0.01	17%	3 Aug →
dust2	2–13	0.04	20%	3 Aug →
cache	13–10	-0.04	26%	2 Aug →
dust2	9–13	0.12	27%	2 Aug →