Camperlachs (GER)

Camperlachs (GER) — CS2 Stats

76561198043871040[U:1:83605312]Steam profile ↗✓ No bans

823Tracked matches57%Win rate2021Tracked since
CSDB Rating4.8 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 823 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 28 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,351 -1,387 28 Jun4 Jul · 20 days played
12,50618,212peak 18,21228 Jun4 Jul
18,222Peak Premier in tracked matches
42Days played since 2025-06-28

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

Performance scores

Aim46
Positioning52
Utility43

0–100 skill scores via Leetify.

Recent form

HOT5446Last 10054%Win rateWWWWLLWWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −21ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 645ms

Last 10

  • 82 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 673ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 683ms

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 PlayerPositioning stands above the rest of this profile (+0.8 against its own average).

Aim4.6
Utility4.3
Positioning5.2
Opening Duels3.6

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

jL

Plays most like jL 74% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 54% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 702ms 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

Aim4.6
Positioning5.2
Utility4.3
Mechanics4.7
Opening Duels3.3
Win Impact7.2

Composite 4.8/10 (Developing), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time702ms+48ms
first ⅓ avg 655ms → last ⅓ avg 702ms
Headshot accuracy19.4%+3.7%
first ⅓ avg 15.7% → last ⅓ avg 19.4%

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.

Personal bests

0.18Best match rating · 12–5 · jura, 21 Aug
40%Best headshot accuracy · 13–7 · train, 12 Dec
453msFastest reaction time · 2–13 · nuke, 17 Jul
13–2Biggest win · overpass, 22 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
412In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 60% over 15dust2Weakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB179853%-0.00
mirageB179853%0.02
nukeA169756%-0.00
ancientA159660%-0.02
dust2B126650%0.01
overpassA95456%-0.00
trainB63350%0.03
anubis41325%0.02
cache220100%0.03
jura110100%0.18
agency1010%-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.1%Headshot accuracy
31.7%Accuracy (enemy spotted)
39.2%Spray accuracy
71.4%Counter-strafing
11.8°Preaim
702msReaction time
32.8%T opening success
53.7%CT opening success
0.54Enemies flashed / flash
3.8%Flash assists
10.55HE damage / grenade
7.07Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 702.1854ms — above the 700ms mark we flag

    Aim Training
  2. 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 32.8209% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–80.1124%25 Aug
cache13–30.1131%25 Aug
dust216–13-0.0516%18 Aug
cache13–8-0.0517%18 Aug
inferno4–13-0.0114%4 Jul
overpass10–13-0.0313%4 Jul
dust213–3-0.0818%4 Jul
ancient13–3-0.0213%24 May
inferno13–60.1132%24 May
ancient13–70.0215%10 May
mirage2–13-0.0718%10 May
nuke8–13-0.0614%10 May
anubis12–16-0.0225%21 Mar
nuke13–6-0.0521%21 Mar
overpass14–160.0320%19 Mar
dust25–130.1522%19 Mar
inferno13–11-0.0217%10 Mar
mirage13–70.0118%10 Mar
anubis14–160.0224%8 Mar
inferno13–80.0030%7 Mar
nuke13–60.0812%7 Mar
mirage13–60.0521%7 Mar
ancient13–9-0.0419%13 Feb
dust213–80.0127%13 Feb
inferno10–13-0.0633%13 Feb
dust211–130.0221%31 Jan
ancient13–60.0115%31 Jan
mirage10–130.0328%31 Jan
inferno8–13-0.093%24 Jan
dust23–13-0.0816%24 Jan
ancient13–4-0.0323%18 Jan
overpass13–5-0.026%18 Jan
nuke7–13-0.0316%11 Jan
inferno8–13-0.029%11 Jan
mirage6–13-0.0718%11 Jan
mirage13–60.0623%10 Jan
ancient13–40.0326%10 Jan
mirage13–9-0.0114%12 Dec
train13–70.0540%12 Dec
inferno13–90.0219%29 Oct
mirage4–13-0.0220%29 Oct
overpass16–13-0.0314%24 Oct
nuke13–8-0.0221%24 Oct
mirage13–70.0931%24 Oct
inferno13–50.0114%24 Oct
train10–130.0120%17 Oct
nuke11–13-0.0223%17 Oct
overpass13–9-0.0420%16 Oct
nuke13–7-0.0612%15 Oct
inferno14–160.0625%11 Oct
ancient11–13-0.0315%11 Oct
nuke13–90.0427%11 Oct
train13–7-0.0019%11 Oct
nuke9–13-0.0311%27 Sept
ancient2–13-0.039%26 Sept
overpass7–130.0325%26 Sept
train8–130.0326%14 Sept
overpass13–90.0617%14 Sept
nuke9–10.1418%14 Sept
ancient13–11-0.0115%7 Sept
overpass4–13-0.0016%7 Sept
inferno13–16-0.0223%31 Aug
nuke13–110.0114%31 Aug
jura12–50.1824%21 Aug
dust211–13-0.0223%21 Aug
mirage4–130.0619%21 Aug
inferno6–13-0.0718%16 Aug
dust26–130.0226%16 Aug
mirage13–50.0514%13 Aug
overpass13–2-0.0016%22 Jul
inferno11–130.0421%22 Jul
inferno13–80.0310%21 Jul
dust213–5-0.0220%21 Jul
ancient13–90.0113%21 Jul
agency3–13-0.116%20 Jul
ancient7–13-0.0710%20 Jul
mirage13–40.0818%17 Jul
nuke2–13-0.0725%17 Jul
ancient2–13-0.0719%17 Jul
mirage6–130.0920%15 Jul
nuke13–50.0626%15 Jul
anubis13–30.0215%8 Jul
inferno13–50.019%8 Jul
nuke10–13-0.0324%5 Jul
inferno13–100.0413%5 Jul
dust26–130.0114%5 Jul
nuke11–13-0.028%5 Jul
ancient13–11-0.019%1 Jul
mirage13–30.0415%1 Jul
ancient11–130.0115%1 Jul
nuke13–60.0014%30 Jun
train13–30.1218%30 Jun
ancient10–13-0.0314%30 Jun
mirage11–13-0.0211%29 Jun
inferno13–7-0.0413%28 Jun
dust213–50.0715%28 Jun
anubis11–130.0518%28 Jun
mirage5–13-0.0414%28 Jun
train9–13-0.0221%28 Jun
mirage13–7-0.0215%28 Jun

Match data via Leetify.

Recent teammates

Milestones

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