lilafahrrad 🌊 — CS2 Stats

FJ76561197986116143[U:1:25850415]Steam profile ↗✓ No bans

2,307Tracked matches52%Win rate2020Tracked since

9,111Hours in CS48Hrs last 2 wks

CSDB Rating7.5 StrongPositional Player

Premier CS Rating26,500Top 5% of 212,133 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#9795 of 259040 tracked

FaceitLevel 10 · 2,747 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,500 +3,966 4 Jun – 3 Oct · 8 days played

Faceit ELO: 2,747 +0 2 Sept – 25 Sept · 3 observations

26,500Peak Premier in tracked matches

2,747Highest Faceit ELO seen on CSDB

47Days played since 2026-04-02

Faceit ELO

At peak — 2,747
0 over 30 days · steady
Next: 3,000 ELO at 3,000 — 253 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-09-02
Level 10 first seen 2026-09-02

Premier CS Rating

At peak — 26,500
+1,768 over 90 days
Next: Gold band at 30,000 — 3,500 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-25
Purple band first seen 2026-09-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate	65.8%	50.9%
Shot accuracy	15.2%	13.7%
Kill/death ratio	1.11	1.09
Match win rate	52.7%	48.4%

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Performance scores

Aim84

Positioning73

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWWLLWLLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −1.8pp headshot accuracy · +15ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 25%
Avg reaction 549ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 25%
Avg reaction 530ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 26%
Avg reaction 522ms

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 (+1.5 against its own average).

Aim8.4

Utility6.5

Positioning7.3

Opening Duels5.7

Clutch3.8

Strong 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.

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 Twistzz 94% playstyle similarity

Most alike: positioning profile, 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim8.4

Positioning7.3

Utility6.5

Mechanics7.0

Opening Duels6.2

Win Impact5.6

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time514ms−59ms

first ⅓ avg 573ms → last ⅓ avg 514ms

Headshot accuracy24.6%−1.0%

first ⅓ avg 25.6% → last ⅓ avg 24.6%

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

0.19Best match rating · 13–0 · nuke, 26 Jul →

50%Best headshot accuracy · 0–6 · inferno, 25 Sept →

328msFastest reaction time · 0–6 · inferno, 25 Sept →

13–0Biggest win · nuke, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W2Current streak

15–12In matches decided by ≤2 rounds

23Overtime games

Map breakdown

dust2Best map · 53% over 36overpassWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	36	19–17	53%	0.03
inferno	C	18	8–10	44%	0.02
nuke	B	16	8–8	50%	0.02
cache	B	12	6–6	50%	0.00
anubis	B	6	3–3	50%	0.04
overpass	C	5	2–3	40%	-0.03
mirage	—	4	2–2	50%	0.06
ancient	—	3	1–2	33%	0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

320,304Lifetime kills

1.11K/D · Top 50% of Level 10 players

7,836Matches

52.7%Match win rate · Top 25% of Level 10 players

65.8%Headshot % · Top 10% of Level 10 players

15.2%Shot accuracy · Top 50% of Level 10 players

25,086MVPs

12,724Hours (in match)

10,795Bombs planted

2,701Bombs defused

Most-used weapons

AK-47137,561

Desert Eagle38,914

M4A4 / M4A1-S36,264

AWP31,558

P2000 / USP-S26,710

Glock-189,353

SG 5534,357

P2504,074

Knife3,605

Tec-93,218

Lifetime map wins

27,323dust2

22,651inferno

4,764cbble

4,687nuke

3,086train

1,216vertigo

28office

28lake

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

Faceit stats

Combat

2,568Matches

53%Win rate

1.33Avg K/D

88.3ADR

51%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	416	54%	1.39	19.2
Inferno	282	55%	1.34	18.5
Nuke	199	57%	1.32	18.9
Cache	80	68%	1.35	18.4
Train	68	54%	1.59	20.5
Mirage	64	33%	1.19	17.7
Overpass	51	57%	1.25	17.9
Ancient	50	38%	1.13	17.3

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.

23.2%Headshot accuracy

38.6%Accuracy (enemy spotted)

32.9%Spray accuracy

81.4%Counter-strafing

9.1°Preaim

528msReaction time

48.4%T opening success

61.3%CT opening success

0.58Enemies flashed / flash

8.9%Flash assists

9.95HE damage / grenade

16.82Flashes / match

Recommended for you

Spend your practice time on Overpass

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–3	-0.00	18%	25 Oct →
nuke	13–8	0.01	32%	25 Oct →
inferno	9–13	0.01	27%	20 Oct →
cache	11–13	0.01	30%	19 Oct →
cache	13–11	-0.00	18%	4 Oct →
mirage	4–13	-0.00	21%	4 Oct →
ancient	6–13	0.03	31%	4 Oct →
inferno	16–14	0.03	12%	3 Oct →
mirage	13–4	0.18	48%	3 Oct →
dust2	5–13	-0.02	18%	3 Oct →
dust2	13–9	0.05	26%	3 Oct →
dust2	15–15	0.07	30%	3 Oct →
anubis	13–6	0.00	29%	28 Sept →
ancient	7–13	0.05	25%	26 Sept →
nuke	5–13	-0.02	21%	26 Sept →
inferno	0–6	-0.01	50%	25 Sept →
anubis	13–7	0.13	21%	24 Sept →
dust2	13–5	0.08	29%	24 Sept →
dust2	13–11	0.02	22%	24 Sept →
cache	9–13	-0.06	19%	23 Sept →
cache	22–20	0.00	18%	12 Sept →
cache	13–10	0.02	15%	12 Sept →
inferno	16–13	-0.05	24%	10 Sept →
dust2	14–16	0.02	26%	9 Sept →
inferno	16–13	0.00	20%	27 Aug →
nuke	16–12	0.03	21%	25 Aug →
nuke	8–13	0.01	23%	23 Aug →
dust2	19–22	0.04	21%	21 Aug →
inferno	13–16	0.07	17%	18 Aug →
nuke	3–13	-0.06	23%	17 Aug →
inferno	17–19	0.04	33%	17 Aug →
dust2	13–7	0.02	30%	16 Aug →
nuke	16–19	-0.03	14%	9 Aug →
inferno	10–13	0.00	26%	9 Aug →
dust2	13–6	0.03	19%	9 Aug →
dust2	19–16	0.06	17%	6 Aug →
dust2	13–6	0.03	22%	5 Aug →
cache	7–13	0.02	31%	31 Jul →
dust2	10–13	0.02	23%	31 Jul →
mirage	13–3	0.02	20%	31 Jul →
dust2	7–13	-0.04	26%	31 Jul →
inferno	6–13	0.01	45%	31 Jul →
cache	16–19	0.00	19%	30 Jul →
nuke	13–0	0.19	33%	26 Jul →
nuke	0–4	-0.07	0%	24 Jul →
dust2	13–11	-0.05	19%	24 Jul →
nuke	13–7	-0.01	42%	24 Jul →
dust2	10–13	-0.01	24%	24 Jul →
dust2	13–8	0.03	22%	22 Jul →
cache	13–4	0.00	22%	22 Jul →
cache	13–7	0.01	30%	22 Jul →
dust2	13–4	0.04	44%	22 Jul →
inferno	16–14	-0.03	21%	22 Jul →
dust2	15–15	0.02	29%	5 Jul →
nuke	13–4	0.10	32%	5 Jul →
dust2	13–11	0.10	22%	5 Jul →
overpass	9–13	-0.04	12%	5 Jul →
overpass	13–7	-0.03	14%	5 Jul →
inferno	13–2	0.04	20%	5 Jul →
dust2	11–7	0.05	33%	12 Jun →
dust2	7–13	-0.03	35%	6 Jun →
inferno	13–3	0.02	24%	6 Jun →
anubis	2–13	-0.06	9%	6 Jun →
nuke	7–13	0.07	16%	5 Jun →
dust2	13–5	0.03	24%	5 Jun →
dust2	3–13	0.01	36%	5 Jun →
dust2	13–11	0.03	33%	4 Jun →
inferno	3–13	-0.04	18%	4 Jun →
anubis	11–13	0.04	33%	31 May →
nuke	13–11	0.02	25%	31 May →
nuke	9–13	0.04	28%	31 May →
overpass	13–7	0.01	16%	25 May →
cache	6–13	-0.00	17%	21 May →
dust2	16–12	0.03	29%	21 May →
ancient	19–17	0.04	29%	20 May →
nuke	13–8	0.05	26%	20 May →
dust2	8–13	0.04	33%	20 May →
dust2	5–13	0.01	14%	17 May →
cache	8–13	-0.00	33%	17 May →
inferno	13–4	0.10	35%	17 May →
dust2	10–13	-0.01	41%	16 May →
overpass	7–13	-0.06	6%	16 May →
inferno	11–13	0.00	38%	14 May →
dust2	16–14	0.04	17%	14 May →
overpass	6–13	-0.04	29%	13 May →
dust2	11–13	0.00	23%	13 May →
anubis	13–8	0.10	20%	3 May →
dust2	16–14	0.07	23%	19 Apr →
dust2	13–11	-0.03	35%	19 Apr →
nuke	12–16	0.00	28%	6 Apr →
dust2	14–16	0.03	27%	6 Apr →
dust2	7–13	-0.02	25%	6 Apr →
dust2	11–13	0.11	32%	5 Apr →
mirage	14–16	0.02	22%	5 Apr →
inferno	13–10	0.02	29%	3 Apr →
anubis	11–13	0.04	35%	3 Apr →
nuke	13–11	0.00	28%	2 Apr →
inferno	14–16	0.01	13%	2 Apr →
inferno	11–13	0.08	15%	2 Apr →
dust2	13–11	0.06	22%	2 Apr →