Christian Lindner

Christian Lindner — CS2 Stats

DE76561198139893145[U:1:179627417]Steam profile ↗✓ No bans

712Tracked matches50%Win rate2022Tracked since
805Hours in CS
CSDB Rating6.5 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 712 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,542 -7,038 17 May – 4 Jul · 5 days played
11,54218,673peak 18,67317 May4 Jul
18,783Peak Premier in tracked matches
41Days played since 2025-05-17

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 5 Sep 2026 and 9 Oct 2026.

Measured 5 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim88
Positioning67
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY35–56–9Last 10035%Win rateWLWLWLWTLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +6.2pp headshot accuracy · −22ms reaction

Win rate +10pp 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 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 444ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 477ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 488ms

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 (+1.4 against its own average).

Aim8.8
Utility3.0
Positioning6.7
Opening Duels6.1

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.

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

s1mple

Plays most like s1mple 76% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution.

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.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 64% on CT to 42% 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

Aim8.8
Positioning6.7
Utility3.0
Mechanics6.9
Opening Duels5.8
Win Impact5.0

Composite 6.5/10 (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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time486ms−107ms
first ⅓ avg 593ms → last ⅓ avg 486ms
Headshot accuracy24.2%+7.7%
first ⅓ avg 16.5% → last ⅓ avg 24.2%

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

0.22Best match rating · 13–0 · nuke, 21 Jun →
100%Best headshot accuracy · 13–1 · cache, 8 Aug →
359msFastest reaction time · 6–13 · train, 7 Feb →
13–0Biggest win · nuke, 21 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 55% over 11dust2Weakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
mirageC197–1237%0.02
dust2D184–1422%0.01
infernoC135–838%0.03
ancientA116–555%0.04
nukeD103–730%0.04
cacheC94–544%0.07
anubisD62–433%-0.01
overpass—42–250%-0.01
train—41–325%0.02
alpine—10–10%-0.02
vertigo—10–10%0.08
golden—10–10%-0.06
agency—10–10%0.01
office—11–0100%0.05
jura—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,038Lifetime kills
1.22K/D · Top 25% of tracked players
2,684Matches
46.4%Match win rate · Top 50% of tracked players
38.9%Headshot %
12.6%Shot accuracy · Top 50% of tracked players
4,944MVPs
805Hours (in match)
1,907Bombs planted
557Bombs defused

Most-used weapons

Lifetime map wins

3,332dust2
3,284inferno
1,203nuke
675vertigo
278train
156cbble
106office
68ar_shoots

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

Skill profile

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

23.6%Headshot accuracy
34.2%Accuracy (enemy spotted)
29.8%Spray accuracy
81.2%Counter-strafing
5.5°Preaim
482msReaction time
42.1%T opening success
64.2%CT opening success
0.49Enemies flashed / flash
2.8%Flash assists
0.03HE damage / grenade
7.69Flashes / 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. 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 0.4919 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.036%27 Aug →
nuke7–130.0517%27 Aug →
ancient13–90.0315%8 Aug →
dust29–13-0.0314%8 Aug →
cache13–10.11100%8 Aug →
mirage10–130.0221%7 Aug →
cache13–110.1024%19 Jul →
cache12–120.0921%19 Jul →
ancient7–130.0411%18 Jul →
mirage3–13-0.0131%18 Jul →
dust210–13-0.0417%18 Jul →
dust24–13-0.0614%18 Jul →
dust213–80.1016%11 Jul →
mirage14–160.0418%11 Jul →
cache3–13-0.0210%11 Jul →
cache13–80.0535%6 Jul →
cache12–120.0920%6 Jul →
nuke8–130.0219%5 Jul →
inferno13–10.0111%5 Jul →
inferno8–130.0137%4 Jul →
mirage2–13-0.1033%4 Jul →
anubis13–110.0425%4 Jul →
ancient13–60.0526%3 Jul →
dust213–100.0336%3 Jul →
mirage8–130.0313%3 Jul →
dust22–130.0428%3 Jul →
mirage13–60.0814%21 Jun →
nuke13–00.2231%21 Jun →
dust213–70.1742%21 Jun →
inferno13–50.1032%6 Jun →
ancient13–50.1123%6 Jun →
mirage13–80.1025%6 Jun →
nuke9–13-0.0113%6 Jun →
overpass4–12-0.0318%30 May →
ancient8–13-0.0230%30 May →
overpass13–70.0331%30 May →
inferno13–100.0415%30 May →
cache12–120.0422%14 May →
nuke13–6-0.0019%13 May →
mirage13–110.039%13 May →
mirage6–13-0.003%13 May →
cache9–130.0110%9 May →
cache13–30.1216%7 May →
ancient15–15-0.0410%3 Apr →
dust213–160.0924%1 Apr →
mirage5–130.009%13 Mar →
dust27–130.0214%13 Mar →
anubis7–13-0.0425%7 Feb →
anubis12–12-0.0810%7 Feb →
ancient13–10-0.0123%7 Feb →
train6–13-0.038%7 Feb →
alpine3–13-0.0221%7 Feb →
overpass13–100.053%9 Jan →
dust213–7-0.0118%9 Jan →
dust22–13-0.0618%12 Dec →
nuke8–13-0.0014%12 Dec →
nuke5–130.0211%7 Nov →
train3–13-0.0117%7 Nov →
anubis9–13-0.0117%20 Oct →
dust23–13-0.0418%12 Oct →
vertigo11–130.0828%3 Oct →
mirage10–130.0117%3 Oct →
golden9–13-0.066%3 Oct →
inferno13–90.0819%19 Sept →
nuke4–130.0611%19 Sept →
agency0–60.018%19 Sept →
inferno2–13-0.0110%19 Sept →
inferno1–130.0620%19 Sept →
ancient13–70.0219%5 Sept →
mirage13–80.0512%5 Sept →
inferno13–160.0211%30 Aug →
dust210–13-0.0221%30 Aug →
dust212–160.0121%30 Aug →
office13–70.0524%30 Aug →
dust24–13-0.059%29 Aug →
overpass12–12-0.0720%29 Aug →
inferno8–130.0018%29 Aug →
dust24–13-0.019%29 Aug →
mirage13–80.0910%8 Aug →
nuke13–100.0518%8 Aug →
inferno3–13-0.019%8 Aug →
dust29–130.0715%25 Jul →
ancient13–20.0919%21 Jun →
mirage3–13-0.0910%21 Jun →
mirage12–120.1124%14 Jun →
inferno12–120.0724%13 Jun →
anubis9–130.0113%6 Jun →
mirage9–130.0319%6 Jun →
ancient12–120.1025%6 Jun →
nuke5–130.0426%29 May →
jura0–13-0.0319%29 May →
inferno8–130.0112%24 May →
inferno13–40.0215%24 May →
ancient11–130.0317%23 May →
train9–13-0.0215%23 May →
anubis13–6-0.0013%17 May →
dust211–130.0117%17 May →
mirage4–13-0.0218%17 May →
train13–80.148%17 May →
mirage13–40.0215%17 May →

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 →

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