schtimu lacione — CS2 Stats

76561198055267468[U:1:95001740]Steam profile ↗✓ No bans

1,178Tracked matches20%Win rate2020Tracked since

3,351Hours in CS11Hrs last 2 wks

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating21,927Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#9387 of 31637 tracked

FaceitLevel 9 · 1,836 ELOTop 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median	Level 10 median	vs Level 10
Headshot rate	43.1%	49.0%	52.0%	8.9% short
Shot accuracy	14.0%	13.1%	13.7%	above
Kill/death ratio	1.24	1.08	1.08	above
Match win rate	50.5%	46.9%	48.8%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning57

Utility39

0–100 skill scores via Leetify.

Recent form

COLD37–56–7Last 10037%Win rateLLLLLLTLLW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim7.6

Aggression7.8

Utility3.9

Positioning5.7

Opening Duels3.3

Clutch5.8

Strong CT-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.

Your pro match

Plays most like ropz 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower opening-duel success; 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

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

T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim7.6

Positioning5.7

Utility3.9

Mechanics7.9

Opening Duels3.3

Win Impact0.0

Composite 5.6/10 (Solid), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time607ms−32ms

first ⅓ avg 638ms → last ⅓ avg 607ms

Headshot accuracy20.3%−7.0%

first ⅓ avg 27.3% → last ⅓ avg 20.3%

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.

Highlights

0.25Best rating — mirage 13–1

13–1Biggest win — mirage

8Longest win streak

L6Current streak

4–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 64% over 14infernoWeakest map · 16% over 25

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	25	4–21	16%	0.03
nuke	B	20	9–11	45%	0.04
mirage	C	19	7–12	37%	0.05
cache	A	14	9–5	64%	0.03
anubis	D	12	4–8	33%	-0.00
dust2	A	7	4–3	57%	0.02
overpass	—	2	0–2	0%	-0.02
ancient	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (16% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,751Lifetime kills

1.24K/D · Top 25% of Level 9 players

5,100Matches

50.5%Match win rate · Top 25% of Level 9 players

43.1%Headshot %

14.0%Shot accuracy · Top 50% of Level 9 players

13,802MVPs

1,977Hours (in match)

2,662Bombs planted

1,049Bombs defused

Most-used weapons

AK-4733,610

M4A4 / M4A1-S18,023

AWP10,473

Desert Eagle7,845

P2000 / USP-S5,908

Glock-184,535

P903,046

P2501,790

MAC-101,659

FAMAS1,561

Lifetime map wins

12,272inferno

7,439nuke

5,016dust2

1,554train

403vertigo

291cbble

132office

130dust

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

Faceit stats

Combat

428Matches

54%Win rate

1.30Avg K/D

104.9ADR

46%Headshot %

Clutches & streaks

49%1v1 clutch win

34%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	39	69%	1.85	24.7
Nuke	32	59%	1.57	21.8
Mirage	30	43%	1.36	22.3
Anubis	18	50%	1.48	18.9
Overpass	8	50%	1.75	22.9
Train	7	57%	1.34	19.0
Ancient	6	33%	1.28	25.5
Dust2	2	50%	1.02	16.5

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.

20.6%Headshot accuracy

35.5%Accuracy (enemy spotted)

42.7%Spray accuracy

85.6%Counter-strafing

11.5°Preaim

592msReaction time

34.5%T opening success

51.9%CT opening success

0.49Enemies flashed / flash

9.5%Flash assists

6.89HE damage / grenade

2.87Flashes / 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 0.4853 — below the 0.5 mark we flag
Grenade Lineups →
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 34.4884% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

16% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–16	0.07	25%	27 Aug →
nuke	9–13	-0.04	20%	27 Aug →
anubis	8–13	-0.05	11%	23 Aug →
cache	3–13	0.01	9%	23 Aug →
inferno	3–13	-0.01	33%	20 Aug →
mirage	9–13	0.11	19%	20 Aug →
nuke	15–15	0.11	17%	20 Aug →
nuke	11–13	-0.04	30%	19 Aug →
inferno	8–13	-0.03	14%	18 Aug →
mirage	13–9	0.12	21%	18 Aug →
cache	15–15	0.02	26%	17 Aug →
dust2	2–13	-0.01	19%	17 Aug →
nuke	11–13	0.09	21%	14 Aug →
inferno	8–13	0.00	14%	14 Aug →
mirage	13–1	0.25	24%	14 Aug →
inferno	15–15	-0.01	28%	12 Aug →
mirage	13–4	0.13	17%	12 Aug →
cache	13–10	0.04	17%	6 Aug →
cache	13–5	0.06	16%	6 Aug →
inferno	15–15	0.01	22%	5 Aug →
anubis	6–13	-0.07	15%	4 Aug →
inferno	9–13	-0.01	29%	4 Aug →
inferno	7–13	0.04	10%	3 Aug →
mirage	10–13	0.01	20%	1 Aug →
anubis	8–13	-0.03	21%	1 Aug →
mirage	5–13	0.06	26%	28 Jul →
dust2	1–13	-0.12	16%	28 Jul →
inferno	15–15	0.03	22%	28 Jul →
cache	9–13	0.03	20%	27 Jul →
inferno	8–13	0.06	24%	26 Jul →
inferno	1–13	-0.08	21%	26 Jul →
cache	13–9	0.02	24%	23 Jul →
inferno	13–4	0.15	19%	23 Jul →
mirage	13–10	0.06	19%	23 Jul →
nuke	13–9	0.06	14%	23 Jul →
dust2	13–5	0.08	27%	23 Jul →
dust2	13–1	0.02	11%	23 Jul →
anubis	13–4	0.08	17%	23 Jul →
nuke	13–10	0.14	23%	22 Jul →
inferno	11–13	0.15	26%	22 Jul →
cache	13–11	0.05	26%	22 Jul →
mirage	9–13	-0.02	29%	21 Jul →
anubis	6–13	-0.01	10%	21 Jul →
mirage	13–8	0.07	23%	21 Jul →
inferno	13–10	0.02	34%	21 Jul →
cache	13–9	0.03	26%	21 Jul →
anubis	15–15	0.07	19%	21 Jul →
nuke	1–13	-0.01	17%	20 Jul →
nuke	9–13	0.07	23%	20 Jul →
inferno	8–13	0.00	24%	14 Jul →
mirage	5–13	0.01	44%	14 Jul →
nuke	13–2	-0.03	22%	13 Jul →
mirage	5–13	-0.05	31%	13 Jul →
inferno	10–13	-0.03	15%	12 Jul →
cache	16–12	-0.02	15%	12 Jul →
cache	15–15	0.11	17%	12 Jul →
nuke	1–9	0.11	31%	12 Jul →
cache	13–10	0.09	21%	12 Jul →
mirage	10–13	0.03	23%	11 Jul →
cache	8–13	0.05	25%	11 Jul →
nuke	8–2	-0.02	23%	11 Jul →
cache	13–10	-0.01	17%	10 Jul →
anubis	13–11	-0.05	10%	10 Jul →
dust2	13–6	0.04	37%	9 Jul →
ancient	10–13	0.04	20%	9 Jul →
inferno	2–13	0.00	24%	9 Jul →
cache	13–8	0.01	16%	9 Jul →
inferno	9–13	0.09	27%	29 Jun →
anubis	11–13	0.01	37%	28 Jun →
anubis	13–7	-0.02	30%	28 Jun →
inferno	13–5	0.00	48%	25 Jun →
mirage	7–13	0.07	33%	25 Jun →
mirage	4–13	-0.04	31%	24 Jun →
overpass	10–13	-0.02	16%	24 Jun →
overpass	13–16	-0.02	17%	23 Jun →
anubis	13–9	0.05	25%	20 Jun →
mirage	13–6	0.10	16%	20 Jun →
dust2	11–13	0.06	37%	20 Jun →
inferno	6–13	-0.02	30%	20 Jun →
anubis	8–13	-0.06	16%	18 Jun →
inferno	10–13	0.11	38%	18 Jun →
nuke	13–10	-0.04	18%	16 Jun →
inferno	10–13	-0.02	30%	16 Jun →
mirage	3–13	-0.02	23%	16 Jun →
nuke	13–5	-0.07	24%	15 Jun →
mirage	11–13	0.06	18%	15 Jun →
nuke	13–6	0.12	19%	11 Jun →
inferno	13–16	-0.02	34%	10 Jun →
mirage	10–13	-0.06	20%	8 Jun →
inferno	16–14	0.02	33%	8 Jun →
nuke	9–13	0.03	26%	7 Jun →
nuke	5–13	0.01	17%	7 Jun →
dust2	13–10	0.05	31%	4 Jun →
inferno	9–13	0.08	29%	2 Jun →
anubis	11–13	0.07	40%	2 Jun →
mirage	13–10	0.07	29%	2 Jun →
nuke	13–11	-0.01	28%	1 Jun →
nuke	10–13	0.06	28%	1 Jun →
inferno	9–13	0.10	29%	31 May →
nuke	13–7	0.14	23%	31 May →