[LLC]XSimon85 — CS2 Stats

76561198143629347[U:1:183363619]Steam profile ↗1 game ban

380Tracked matches40%Win rate2020Tracked since

1,702Hours in CS16Hrs last 2 wks

CSDB Rating3.8 Learning

Premier CS Rating17,533Purple band · top ~18.3% of ranked players (population est.)

CSDB Leaderboard#7264 of 12766 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning38

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWWLWLLWLLL

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

Player DNA

Aim4.2

Aggression4.2

Utility4.7

Positioning3.8

Opening Duels0.8

Clutch4.2

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 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 42% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim4.2

Positioning3.8

Utility4.7

Mechanics4.9

Opening Duels1.5

Win Impact1.7

Composite 3.8/10 (Learning), 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 rating-0.04−0.05

first ⅓ avg 0.01 → last ⅓ avg -0.04

Reaction time611ms−8ms

first ⅓ avg 620ms → last ⅓ avg 611ms

Headshot accuracy19.5%−3.5%

first ⅓ avg 23.0% → last ⅓ avg 19.5%

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

0.14Best rating — inferno 13–5

13–3Biggest win — nuke

6Longest win streak

W2Current streak

11–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 62% over 26cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	16–10	62%	-0.02
mirage	B	26	14–12	54%	-0.01
nuke	B	16	8–8	50%	-0.01
inferno	A	10	6–4	60%	-0.01
cache	D	8	2–6	25%	-0.03
ancient	A	5	3–2	60%	-0.03
anubis	—	3	1–2	33%	-0.08
train	—	2	1–1	50%	-0.02
overpass	—	2	2–0	100%	-0.00
office	—	1	1–0	100%	-0.02
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Lifetime stats

29,591Lifetime kills

0.85K/D

2,029Matches

38.7%Match win rate

32.9%Headshot %

13.6%Shot accuracy · Top 50% of tracked players

3,743MVPs

660Hours (in match)

1,620Bombs planted

291Bombs defused

Most-used weapons

AWP6,074

AK-475,542

M4A4 / M4A1-S3,450

Desert Eagle1,615

P2000 / USP-S1,529

Five-SeveN1,364

P901,227

Glock-181,136

SG 553901

SSG 08856

Lifetime map wins

6,542dust2

911nuke

756inferno

426bank

416lake

273safehouse

141train

100vertigo

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

Faceit stats

Combat

57Matches

37%Win rate

0.80Avg K/D

63.5ADR

45%Headshot %

Clutches & streaks

41%1v1 clutch win

18%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	17	29%	0.62	10.7
Inferno	11	64%	1.07	13.6
Dust2	11	27%	0.80	13.6
Nuke	6	33%	0.96	16.8
Cache	4	25%	0.87	13.5
Ancient	4	25%	0.75	14.5
Vertigo	2	100%	0.76	11.0
Anubis	2	0%	0.42	8.5

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.

19.7%Headshot accuracy

28.5%Accuracy (enemy spotted)

27.1%Spray accuracy

72.3%Counter-strafing

11.1°Preaim

617msReaction time

24.8%T opening success

41.6%CT opening success

0.63Enemies flashed / flash

6.9%Flash assists

7.15HE damage / grenade

7.89Flashes / 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 24.7571% — 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.

25% 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
ancient	13–9	-0.07	9%	27 Aug →
dust2	13–11	0.00	24%	18 Aug →
cache	8–13	-0.10	35%	18 Aug →
nuke	13–5	-0.01	26%	15 Aug →
dust2	10–13	-0.01	40%	15 Aug →
dust2	11–13	-0.06	10%	13 Aug →
mirage	13–11	-0.01	19%	9 Aug →
inferno	5–13	-0.01	38%	8 Aug →
mirage	9–13	-0.01	25%	8 Aug →
anubis	6–13	-0.09	12%	7 Aug →
mirage	13–8	0.03	30%	3 Aug →
mirage	13–9	-0.06	17%	3 Aug →
inferno	13–7	-0.06	25%	1 Aug →
mirage	4–13	-0.08	24%	31 Jul →
nuke	13–11	0.03	29%	29 Jul →
dust2	11–13	-0.04	21%	29 Jul →
dust2	9–13	-0.08	8%	28 Jul →
mirage	4–13	-0.05	12%	28 Jul →
dust2	13–5	-0.00	18%	24 Jul →
mirage	2–13	-0.06	33%	22 Jul →
dust2	13–9	-0.06	18%	22 Jul →
dust2	3–13	-0.09	12%	21 Jul →
inferno	13–10	-0.07	20%	17 Jul →
cache	9–13	-0.02	14%	15 Jul →
mirage	1–13	-0.10	25%	13 Jul →
mirage	3–13	-0.07	5%	13 Jul →
dust2	13–10	-0.02	12%	13 Jul →
dust2	6–13	-0.02	19%	13 Jul →
mirage	11–13	-0.05	9%	12 Jul →
ancient	10–13	-0.08	9%	11 Jul →
dust2	10–13	-0.00	16%	11 Jul →
dust2	1–13	-0.02	20%	11 Jul →
inferno	0–13	-0.05	14%	11 Jul →
train	13–9	-0.05	15%	11 Jul →
overpass	13–7	-0.04	15%	11 Jul →
nuke	13–3	0.02	33%	11 Jul →
nuke	12–16	0.00	15%	11 Jul →
mirage	13–4	-0.06	42%	11 Jul →
cache	2–3	0.00	43%	11 Jul →
nuke	13–10	-0.01	11%	10 Jul →
cache	0–13	-0.00	0%	10 Jul →
dust2	13–9	-0.07	43%	10 Jul →
cache	16–14	-0.03	23%	10 Jul →
nuke	13–9	-0.06	25%	10 Jul →
mirage	2–13	-0.04	30%	10 Jul →
inferno	13–4	0.07	29%	10 Jul →
dust2	16–14	0.02	25%	10 Jul →
mirage	13–7	-0.02	21%	10 Jul →
anubis	0–13	-0.12	29%	9 Jul →
mirage	13–7	-0.05	20%	9 Jul →
nuke	13–10	0.02	34%	9 Jul →
ancient	13–7	-0.00	14%	9 Jul →
train	12–12	0.01	20%	8 Jul →
office	13–9	-0.02	36%	8 Jul →
vertigo	10–13	-0.04	15%	8 Jul →
cache	13–5	-0.06	33%	8 Jul →
mirage	9–13	-0.08	33%	7 Jul →
dust2	13–5	-0.02	49%	7 Jul →
cache	10–13	0.05	41%	7 Jul →
mirage	13–9	-0.03	22%	5 Jul →
anubis	13–8	-0.02	12%	5 Jul →
nuke	13–11	-0.02	19%	5 Jul →
mirage	14–16	-0.07	23%	5 Jul →
dust2	13–6	-0.04	7%	5 Jul →
dust2	13–8	0.01	42%	4 Jul →
mirage	13–11	-0.02	43%	4 Jul →
dust2	13–8	0.02	39%	4 Jul →
mirage	13–3	0.05	24%	3 Jul →
inferno	13–11	-0.04	24%	2 Jul →
nuke	9–13	-0.03	21%	29 Jun →
nuke	7–13	-0.03	15%	26 Jun →
nuke	9–13	-0.05	21%	25 Jun →
dust2	13–10	-0.03	7%	25 Jun →
inferno	5–0	-0.01	100%	25 Jun →
mirage	6–13	0.02	34%	23 Jun →
dust2	3–13	-0.05	13%	23 Jun →
nuke	7–13	-0.06	19%	20 Jun →
overpass	13–5	0.03	25%	20 Jun →
nuke	9–13	0.01	17%	24 May →
cache	8–13	-0.04	24%	21 May →
mirage	13–7	0.04	24%	17 May →
inferno	6–13	0.00	19%	16 May →
nuke	11–13	-0.07	11%	15 May →
inferno	8–13	-0.04	13%	15 May →
dust2	13–6	-0.03	15%	15 May →
mirage	6–13	0.08	38%	14 May →
nuke	13–11	0.02	17%	14 May →
dust2	16–14	-0.04	19%	13 May →
mirage	13–9	0.09	28%	13 May →
ancient	13–11	0.01	16%	13 May →
ancient	10–13	-0.02	16%	13 May →
dust2	0–6	-0.05	9%	13 May →
mirage	13–9	0.12	18%	13 May →
dust2	13–8	0.08	38%	13 May →
nuke	11–13	0.04	28%	12 May →
mirage	13–5	-0.03	35%	12 May →
dust2	13–6	0.00	23%	12 May →
mirage	13–5	0.11	19%	12 May →
inferno	13–5	0.14	13%	12 May →
dust2	13–6	-0.00	16%	11 May →