marione le'mogger — CS2 Stats

US76561198349122531[U:1:388856803]Steam profile ↗✓ No bans

1,450Tracked matches54%Win rate2020Tracked since

5,140Hours in CS71Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating23,374Top 50% of 819 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)

CSDB Leaderboard#3361 of 13267 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning58

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateWLLWWLTLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.7

Aggression7.2

Utility4.7

Positioning5.8

Opening Duels3.0

Clutch0.0

Sharp aimerStrong CT-side opener

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 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success.

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 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.5° off target when enemies appear — placement, not flicking, is the bigger win available.

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 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

Aim8.7

Positioning5.8

Utility4.7

Mechanics6.3

Opening Duels3.0

Win Impact6.3

Composite 6.5/10 (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+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time572ms−21ms

first ⅓ avg 592ms → last ⅓ avg 572ms

Headshot accuracy33.7%+8.7%

first ⅓ avg 25.0% → last ⅓ avg 33.7%

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

0.24Best rating — vertigo 13–3

13–0Biggest win — anubis

4Longest win streak

7–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	19	9–10	47%	0.01
mirage	C	17	7–10	41%	-0.02
dust2	B	17	8–9	47%	0.01
inferno	D	10	2–8	20%	0.03
anubis	C	7	3–4	43%	0.01
vertigo	B	6	3–3	50%	0.06
office	B	6	3–3	50%	0.01
ancient	A	5	3–2	60%	0.04
cache	D	5	1–4	20%	0.02
train	—	4	1–3	25%	0.05
overpass	—	1	0–1	0%	0.03
boulder	—	1	0–1	0%	-0.08
fachwerk	—	1	0–1	0%	-0.02
shelter	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,331Lifetime kills

1.01K/D

4,598Matches

37.9%Match win rate

50.0%Headshot % · Top 50% of Pink band

15.8%Shot accuracy · Top 50% of Pink band

9,650MVPs

1,784Hours (in match)

3,154Bombs planted

808Bombs defused

Most-used weapons

AK-4732,040

M4A4 / M4A1-S15,860

AWP8,709

P2000 / USP-S6,261

Desert Eagle5,384

Glock-183,010

MP92,110

FAMAS1,849

MAC-101,369

SSG 081,352

Lifetime map wins

6,051dust2

3,881inferno

3,566office

2,883nuke

1,678train

1,548vertigo

833cbble

257italy

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

Faceit stats

Combat

193Matches

52%Win rate

1.03Avg K/D

79.5ADR

42%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	67%	0.70	13.3
Dust2	3	33%	1.00	17.0
Anubis	2	50%	0.92	13.5
Nuke	2	0%	0.93	18.5
Ancient	1	0%	1.20	18.0
Vertigo	1	0%	0.71	12.0

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.

34.6%Headshot accuracy

36.7%Accuracy (enemy spotted)

41.9%Spray accuracy

78.5%Counter-strafing

11.5°Preaim

572msReaction time

33.3%T opening success

50.6%CT opening success

0.56Enemies flashed / flash

4.0%Flash assists

10.40HE damage / grenade

9.75Flashes / 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 33.2762% — 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.

20% win rate across 10 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
ancient	13–8	0.08	21%	27 Aug →
mirage	6–13	-0.02	41%	27 Aug →
inferno	6–13	0.09	17%	27 Aug →
mirage	13–10	0.01	33%	27 Aug →
anubis	13–0	0.13	16%	27 Aug →
cache	3–13	-0.05	24%	27 Aug →
dust2	12–12	-0.04	22%	27 Aug →
inferno	10–13	0.11	42%	26 Aug →
vertigo	13–9	-0.05	33%	26 Aug →
office	11–13	-0.05	53%	26 Aug →
office	13–9	0.01	55%	26 Aug →
office	13–11	0.07	49%	24 Aug →
office	12–12	-0.03	41%	24 Aug →
nuke	12–12	-0.01	17%	24 Aug →
anubis	6–13	0.01	21%	24 Aug →
overpass	11–13	0.03	43%	24 Aug →
train	13–8	0.04	33%	24 Aug →
dust2	6–13	0.08	40%	24 Aug →
nuke	13–10	0.09	29%	24 Aug →
ancient	8–13	0.02	32%	23 Aug →
nuke	13–10	0.03	23%	23 Aug →
inferno	12–12	0.09	33%	22 Aug →
vertigo	13–3	0.24	50%	22 Aug →
vertigo	6–13	0.11	56%	22 Aug →
ancient	13–9	0.07	49%	22 Aug →
mirage	13–4	0.08	31%	21 Aug →
mirage	13–5	0.03	22%	21 Aug →
nuke	13–8	-0.06	50%	21 Aug →
nuke	3–13	-0.07	20%	21 Aug →
anubis	5–13	-0.02	25%	20 Aug →
nuke	13–10	-0.01	33%	20 Aug →
nuke	10–13	-0.02	42%	20 Aug →
mirage	6–13	-0.00	14%	20 Aug →
mirage	5–13	-0.05	31%	20 Aug →
vertigo	13–11	-0.00	27%	20 Aug →
nuke	1–13	-0.03	43%	18 Aug →
nuke	6–13	0.03	78%	18 Aug →
train	8–13	0.00	87%	18 Aug →
boulder	4–13	-0.08	50%	11 Aug →
nuke	1–13	-0.06	50%	11 Aug →
nuke	4–13	-0.08	50%	11 Aug →
fachwerk	7–13	-0.02	58%	10 Aug →
mirage	4–13	0.00	59%	10 Aug →
nuke	7–13	0.12	52%	10 Aug →
vertigo	11–13	-0.00	46%	10 Aug →
nuke	0–10	-0.04	14%	7 Aug →
mirage	6–13	-0.11	22%	7 Aug →
nuke	13–3	-0.00	30%	7 Aug →
cache	4–13	-0.03	22%	6 Aug →
anubis	3–13	-0.04	16%	5 Aug →
dust2	6–13	-0.01	24%	5 Aug →
mirage	13–16	-0.04	19%	5 Aug →
dust2	3–13	-0.02	33%	3 Aug →
inferno	1–13	-0.03	35%	3 Aug →
dust2	16–13	0.10	25%	3 Aug →
nuke	13–7	0.05	20%	3 Aug →
nuke	15–15	-0.00	27%	2 Aug →
inferno	8–13	-0.04	21%	2 Aug →
dust2	13–8	0.08	16%	2 Aug →
nuke	13–11	-0.02	30%	2 Aug →
vertigo	5–13	0.05	19%	2 Aug →
mirage	13–7	-0.01	24%	2 Aug →
dust2	6–13	-0.06	23%	31 Jul →
anubis	13–11	0.01	12%	31 Jul →
mirage	13–10	-0.01	14%	31 Jul →
dust2	11–13	0.03	37%	31 Jul →
dust2	13–11	0.00	25%	31 Jul →
dust2	13–11	0.09	36%	31 Jul →
shelter	13–7	0.02	52%	31 Jul →
office	8–2	0.07	60%	31 Jul →
train	7–13	0.03	21%	31 Jul →
train	12–12	0.13	22%	31 Jul →
anubis	8–13	-0.02	14%	30 Jul →
inferno	13–2	0.05	25%	30 Jul →
dust2	4–13	-0.04	14%	30 Jul →
cache	15–15	0.10	32%	29 Jul →
inferno	13–10	-0.00	27%	29 Jul →
mirage	7–13	-0.00	23%	29 Jul →
mirage	2–13	-0.07	7%	29 Jul →
dust2	4–13	0.01	27%	29 Jul →
nuke	13–10	0.05	26%	28 Jul →
nuke	13–8	0.15	38%	28 Jul →
mirage	5–13	-0.09	20%	27 Jul →
ancient	2–13	-0.07	15%	27 Jul →
mirage	13–10	0.03	21%	27 Jul →
dust2	0–13	-0.12	29%	22 Jul →
inferno	7–13	0.03	23%	22 Jul →
dust2	13–11	0.02	16%	18 Jul →
cache	4–13	-0.04	9%	18 Jul →
office	7–13	0.00	19%	18 Jul →
mirage	15–15	-0.03	26%	12 Jul →
dust2	13–9	-0.01	8%	12 Jul →
dust2	13–8	0.02	14%	12 Jul →
inferno	4–13	-0.03	22%	10 Jul →
dust2	13–7	0.06	29%	10 Jul →
mirage	13–3	0.00	37%	10 Jul →
cache	13–7	0.09	40%	5 Jul →
inferno	3–13	0.01	26%	5 Jul →
ancient	13–8	0.10	28%	5 Jul →
anubis	13–7	0.03	21%	29 Jun →