Lolen — CS2 Stats

76561198169496437[U:1:209230709]Steam profile ↗✓ No bans

1,209Tracked matches67%Win rate2020Tracked since

3,677Hours in CS14Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating22,409Top 50% of 819 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#5418 of 18101 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning48

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWLWWWLLWL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

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

Aim9.0

Aggression7.6

Utility4.2

Positioning4.8

Opening Duels2.6

Clutch7.2

Sharp aimerStrong CT-side openerReliable in 1v1s

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 b1t 90% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower utility contribution; lower positioning 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

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 54% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning4.8

Utility4.2

Mechanics6.7

Opening Duels3.0

Win Impact10.0

Composite 6.7/10 (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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time516ms−46ms

first ⅓ avg 563ms → last ⅓ avg 516ms

Headshot accuracy21.4%+0.2%

first ⅓ avg 21.2% → last ⅓ avg 21.4%

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

0.22Best rating — mirage 13–1

13–0Biggest win — cache

6Longest win streak

8–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 75% over 12infernoWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	20	10–10	50%	0.03
inferno	C	18	7–11	39%	0.04
ancient	C	18	8–10	44%	0.02
nuke	A	12	7–5	58%	0.04
mirage	S	12	9–3	75%	0.04
anubis	A	11	6–5	55%	0.05
overpass	—	4	3–1	75%	0.04
vertigo	—	2	1–1	50%	0.02
debris	—	1	0–1	0%	0.06
train	—	1	0–1	0%	0.08
poseidon	—	1	1–0	100%	0.19

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,241Lifetime kills

1.32K/D · Top 25% of Pink band

5,229Matches

40.2%Match win rate

44.1%Headshot %

17.0%Shot accuracy · Top 25% of Pink band

13,772MVPs

2,086Hours (in match)

3,339Bombs planted

1,419Bombs defused

Most-used weapons

AK-4752,454

AWP32,020

M4A4 / M4A1-S16,896

P2000 / USP-S8,058

Glock-184,881

Desert Eagle4,643

Galil AR3,326

MP72,256

P2502,245

Tec-92,062

Lifetime map wins

6,269inferno

4,542nuke

2,653dust2

2,191vertigo

1,618train

864cbble

194lake

115office

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

Faceit stats

Combat

61Matches

70%Win rate

1.73Avg K/D

94.4ADR

33%Headshot %

Clutches & streaks

56%1v1 clutch win

21%1v2 clutch win

17Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	7	100%	2.13	17.6
Anubis	5	80%	1.58	18.4
Nuke	3	100%	1.76	21.7
Inferno	2	50%	2.48	16.5
Overpass	1	100%	1.73	19.0
Dust2	1	100%	1.48	34.0
Mirage	1	100%	1.64	18.0

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.

20.5%Headshot accuracy

40.8%Accuracy (enemy spotted)

44.3%Spray accuracy

80.0%Counter-strafing

8.6°Preaim

508msReaction time

27.3%T opening success

53.7%CT opening success

0.39Enemies flashed / flash

2.3%Flash assists

9.95HE damage / grenade

6.71Flashes / 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 0.3867 — 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 27.2965% — 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.

39% win rate across 18 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
inferno	9–13	0.02	16%	25 Aug →
nuke	13–2	0.08	18%	25 Aug →
anubis	8–13	0.02	13%	25 Aug →
mirage	13–2	0.10	24%	25 Aug →
cache	13–5	0.03	27%	25 Aug →
ancient	13–1	-0.01	15%	25 Aug →
anubis	9–13	0.01	14%	19 Aug →
mirage	5–13	0.04	38%	19 Aug →
inferno	13–3	0.09	24%	19 Aug →
inferno	11–13	0.01	26%	18 Aug →
ancient	8–13	-0.03	8%	18 Aug →
nuke	13–7	0.06	28%	18 Aug →
ancient	12–5	-0.06	17%	17 Aug →
ancient	5–13	0.02	23%	17 Aug →
anubis	13–7	0.05	23%	17 Aug →
cache	13–6	0.10	21%	17 Aug →
cache	13–8	0.06	25%	14 Aug →
mirage	6–13	0.04	15%	14 Aug →
nuke	13–2	0.11	34%	14 Aug →
inferno	13–6	0.03	9%	14 Aug →
nuke	13–11	0.01	32%	11 Aug →
ancient	3–13	-0.02	35%	11 Aug →
anubis	13–2	0.07	21%	11 Aug →
mirage	13–1	0.22	24%	10 Aug →
mirage	13–7	0.02	10%	10 Aug →
inferno	13–11	0.05	19%	10 Aug →
overpass	13–11	0.04	11%	7 Aug →
nuke	13–2	0.19	21%	7 Aug →
inferno	14–16	-0.00	19%	7 Aug →
anubis	13–8	0.11	15%	7 Aug →
ancient	13–3	-0.01	33%	6 Aug →
cache	12–12	-0.01	22%	6 Aug →
cache	5–13	0.02	27%	5 Aug →
inferno	13–8	0.01	26%	5 Aug →
inferno	11–13	0.09	21%	2 Aug →
cache	8–13	-0.01	22%	2 Aug →
mirage	13–11	0.05	14%	31 Jul →
inferno	7–13	0.07	33%	31 Jul →
ancient	10–13	0.01	15%	31 Jul →
cache	5–13	0.06	28%	31 Jul →
cache	9–13	-0.04	23%	30 Jul →
mirage	16–13	-0.02	14%	30 Jul →
nuke	15–15	0.03	20%	28 Jul →
cache	9–13	-0.02	17%	28 Jul →
cache	13–11	-0.06	27%	28 Jul →
nuke	13–5	0.01	18%	26 Jul →
inferno	13–5	0.00	20%	26 Jul →
cache	16–14	0.00	15%	26 Jul →
cache	10–13	0.11	27%	25 Jul →
inferno	2–13	-0.02	8%	25 Jul →
debris	8–8	0.06	26%	25 Jul →
cache	13–1	0.14	21%	25 Jul →
anubis	5–13	0.01	22%	25 Jul →
anubis	13–10	0.12	30%	24 Jul →
ancient	13–8	0.03	20%	24 Jul →
cache	13–8	0.04	30%	24 Jul →
inferno	13–6	0.08	26%	24 Jul →
inferno	14–16	-0.00	23%	23 Jul →
cache	13–0	0.00	13%	23 Jul →
mirage	13–7	-0.00	13%	22 Jul →
ancient	7–13	0.10	20%	21 Jul →
ancient	13–5	0.03	38%	21 Jul →
nuke	10–13	0.05	29%	21 Jul →
nuke	11–13	-0.01	12%	5 Jul →
ancient	7–13	0.03	33%	5 Jul →
ancient	9–13	0.04	26%	5 Jul →
ancient	9–13	-0.04	18%	29 Jun →
overpass	13–10	0.05	17%	26 Jun →
vertigo	11–13	-0.01	17%	26 Jun →
anubis	8–13	0.01	20%	26 Jun →
mirage	13–11	-0.05	29%	15 Jun →
ancient	2–13	-0.07	23%	15 Jun →
inferno	7–13	0.06	21%	12 Jun →
train	1–5	0.08	40%	12 Jun →
mirage	11–13	-0.02	15%	12 Jun →
ancient	13–7	0.00	31%	11 Jun →
cache	8–13	0.01	20%	2 Jun →
anubis	16–13	0.05	11%	2 Jun →
mirage	13–0	0.07	28%	31 May →
ancient	8–13	0.03	10%	28 May →
anubis	13–2	0.12	19%	28 May →
inferno	6–13	-0.01	33%	28 May →
inferno	13–6	0.12	27%	28 May →
ancient	13–2	0.09	10%	27 May →
cache	10–13	0.02	11%	27 May →
inferno	9–13	0.04	21%	27 May →
ancient	13–5	0.12	28%	27 May →
cache	13–8	-0.01	16%	26 May →
overpass	13–7	0.02	19%	26 May →
cache	13–4	0.01	44%	24 May →
nuke	8–13	-0.02	14%	24 May →
nuke	13–11	0.05	11%	24 May →
cache	10–13	0.04	24%	24 May →
nuke	8–13	-0.08	18%	24 May →
overpass	5–13	0.03	23%	23 May →
vertigo	13–8	0.05	18%	23 May →
poseidon	9–3	0.19	16%	23 May →
anubis	8–13	-0.01	15%	23 May →
mirage	13–8	0.01	23%	23 May →
inferno	6–13	0.05	26%	23 May →