Fachlagerist

Fachlagerist — CS2 Stats

76561198047001570[U:1:86735842]Steam profile ↗✓ No bans

1,681Tracked matches39%Win rate2020Tracked since
2,491Hours in CS
CSDB Rating6.3 SolidSupport
Premier CS Rating18,707Top 50% of 215,386 CSDB-tracked playersPurple band · top ~13.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,681 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,707 -1,293 27 Jun – 2 Nov · 25 days played
18,28921,471peak 21,47127 Jun2 Nov
21,471Peak Premier in tracked matches
36Days played since 2026-06-27

Premier CS Rating

  • 2,764 below peak (21,471)
  • -1,292 over 90 days
  • Next: Pink band at 20,000 — 1,293 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate43.6%44.4%46.9%3.3% short
Shot accuracy17.6%11.9%13.0%above
Kill/death ratio1.221.031.08above
Match win rate45.7%45.2%46.7%1.0% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGFachlageristPREMIER18,707 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning49
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateLWLLLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.3pp headshot accuracy · −6ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 522ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 563ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 565ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim8.8
Utility6.3
Positioning4.9
Opening Duels2.1
Clutch3.2

Sharp aimerExcellent counter-strafing

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, aim profile.

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 88 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

Reaction time. 566ms 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

Aim8.8
Positioning4.9
Utility6.3
Mechanics9.3
Opening Duels2.1
Win Impact1.4

Composite 6.3/10 (Solid), 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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time566ms−13ms
first ⅓ avg 579ms → last ⅓ avg 566ms
Headshot accuracy21.1%+5.1%
first ⅓ avg 16.0% → last ⅓ avg 21.1%

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

0.17Best match rating · 9–13 · boulder, 17 Jul →
50%Best headshot accuracy · 13–4 · inferno, 17 Sept →
422msFastest reaction time · 7–0 · dust2, 24 Aug →
13–0Biggest win · mirage, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 6boulderWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2715–1256%0.00
cacheC135–838%-0.01
ancientC135–838%-0.01
mirageD134–931%0.01
infernoC125–742%0.03
nukeD93–633%0.01
anubisS64–267%0.01
boulderD51–420%0.04
fachwerk—11–0100%0.08
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

133,350Lifetime kills
1.22K/D · Top 25% of Purple band
6,040Matches
45.7%Match win rate · Top 50% of Purple band
43.6%Headshot %
17.6%Shot accuracy · Top 10% of Purple band
14,700MVPs
2,491Hours (in match)
6,597Bombs planted
1,696Bombs defused

Most-used weapons

AK-4749,364
AWP19,377
P2503,474
Tec-92,372
FAMAS2,074

Lifetime map wins

17,756dust2
9,301inferno
1,543train
1,404cbble
1,006nuke
810vertigo
152bank
124office

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

Faceit stats

Combat

419Matches
49%Win rate
1.24Avg K/D
82.7ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3161%1.6816.5
Mirage2157%1.3314.9
Anubis2040%1.1415.0
Dust21833%1.4516.7
Inferno1553%1.3618.7
Vertigo1145%1.2617.3
Nuke40%0.628.3
Train1100%0.9519.0

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.

20.8%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.3%Spray accuracy
92.0%Counter-strafing
8.6°Preaim
566msReaction time
40.3%T opening success
36.3%CT opening success
0.62Enemies flashed / flash
6.3%Flash assists
11.71HE damage / grenade
10.44Flashes / 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.

  1. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.3244% — below the 40% mark we flag

Spend your practice time on Mirage

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0213%25 Oct →
anubis13–70.0616%25 Oct →
dust26–13-0.0529%25 Oct →
inferno9–130.0322%23 Oct →
ancient7–13-0.0012%23 Oct →
dust213–5-0.0323%23 Oct →
mirage6–13-0.0226%23 Oct →
dust213–9-0.0213%24 Sept →
mirage5–13-0.019%23 Sept →
ancient13–70.0919%23 Sept →
nuke5–13-0.0418%21 Sept →
inferno13–4-0.0350%17 Sept →
nuke10–130.0523%9 Sept →
dust213–90.0114%4 Sept →
ancient10–130.0222%4 Sept →
inferno13–100.1531%4 Sept →
ancient15–150.0120%4 Sept →
inferno9–13-0.0111%3 Sept →
dust213–6-0.0114%3 Sept →
dust24–13-0.0431%3 Sept →
nuke5–13-0.0319%3 Sept →
mirage15–150.0523%2 Sept →
cache13–10-0.0018%2 Sept →
mirage6–13-0.0223%28 Aug →
dust213–70.0418%25 Aug →
cache1–13-0.1045%24 Aug →
dust27–00.0531%24 Aug →
boulder7–13-0.0312%21 Aug →
dust27–13-0.0816%21 Aug →
inferno3–13-0.0223%21 Aug →
anubis16–120.0116%20 Aug →
inferno13–50.0625%12 Aug →
inferno13–110.0212%7 Aug →
nuke13–80.0923%7 Aug →
dust213–70.0420%2 Aug →
inferno7–130.0316%31 Jul →
mirage10–13-0.0410%31 Jul →
ancient13–50.0322%27 Jul →
cache16–140.0226%27 Jul →
cache7–13-0.0437%26 Jul →
dust213–100.0234%26 Jul →
mirage13–00.000%26 Jul →
dust212–12-0.0224%26 Jul →
inferno13–90.0221%26 Jul →
cache1–13-0.0629%26 Jul →
boulder9–130.1717%17 Jul →
fachwerk13–110.0810%17 Jul →
mirage7–130.0115%17 Jul →
anubis13–9-0.0213%17 Jul →
dust214–16-0.0420%17 Jul →
cache13–70.0126%16 Jul →
cache13–90.0415%16 Jul →
mirage13–50.0212%16 Jul →
dust27–13-0.0522%14 Jul →
anubis10–13-0.0528%14 Jul →
ancient13–8-0.0420%13 Jul →
cache2–13-0.0225%12 Jul →
dust213–100.0722%12 Jul →
ancient7–130.0033%12 Jul →
boulder9–13-0.0322%11 Jul →
inferno10–130.0826%11 Jul →
dust27–130.1128%11 Jul →
dust213–7-0.0118%10 Jul →
mirage13–50.1228%10 Jul →
dust28–13-0.0224%10 Jul →
dust213–70.0723%9 Jul →
boulder13–10.0518%9 Jul →
boulder11–130.0517%9 Jul →
cache8–130.0211%8 Jul →
anubis9–130.0319%8 Jul →
cache12–120.0123%8 Jul →
cache3–13-0.0216%7 Jul →
mirage12–120.0314%7 Jul →
vertigo8–13-0.0511%7 Jul →
inferno11–130.0327%1 Jul →
dust26–13-0.0110%1 Jul →
mirage13–80.0113%30 Jun →
dust216–13-0.0416%30 Jun →
inferno10–130.0211%30 Jun →
nuke10–130.0217%30 Jun →
mirage9–13-0.0413%30 Jun →
cache13–10-0.008%29 Jun →
dust213–110.0323%29 Jun →
mirage3–13-0.048%29 Jun →
anubis13–70.0311%29 Jun →
nuke9–13-0.0222%29 Jun →
ancient6–13-0.1010%29 Jun →
ancient13–100.0123%28 Jun →
dust213–70.0522%28 Jun →
dust25–130.0610%28 Jun →
nuke8–130.027%28 Jun →
nuke13–60.0129%28 Jun →
ancient9–13-0.0417%28 Jun →
dust213–11-0.0124%28 Jun →
dust26–130.0114%27 Jun →
ancient8–13-0.0214%27 Jun →
nuke16–130.0020%27 Jun →
dust22–13-0.0716%27 Jun →
ancient13–80.0016%27 Jun →
ancient10–13-0.0018%27 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.