Knecker.

Knecker. — CS2 Stats

NO76561198020415365[U:1:60149637]Steam profile ↗✓ No bans

1,785Tracked matches59%Win rate2020Tracked since
5,153Hours in CS1Hrs last 2 wks
CSDB Rating6.3 SolidSupport
CSDB Leaderboard#58561 of 257745 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,785
0.0ppWin rate · 58.6% → 58.6%

Rating over time

Premier CS Rating: 21,777 -941 9 Apr – 10 Sept · 25 days played
20,53123,392peak 23,3929 Apr10 Sept
24,078Peak Premier in tracked matches
32Days played since 2026-04-09

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

MetricLast 30Previous 30Change
Matches10—
Win rate0%——
K/D0.44——
Headshot %43%——

Measured 24 Sep 2026 → 27 Oct 2026; previous 28 Aug 2026 → 24 Sep 2026.

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate48.3%46.8%48.2%meets
Shot accuracy14.5%13.0%13.2%above
Kill/death ratio1.061.061.07meets
Match win rate41.8%46.3%46.9%5.2% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKnecker.FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79
Positioning43
Utility55

0–100 skill scores via Leetify.

Recent form

COLD54–44–2Last 10054%Win rateLLWLWLLLWL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +2.3pp headshot accuracy · −17ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 567ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 585ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 593ms

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 (+2.7 against its own average).

Aim7.9
Utility5.5
Positioning4.3
Opening Duels1.5
Clutch0.0

Excellent 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

b1t

Plays most like b1t 85% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; 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

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 612ms 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

Aim7.9
Positioning4.3
Utility5.5
Mechanics8.9
Opening Duels0.7
Win Impact7.9

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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time611ms−39ms
first ⅓ avg 650ms → last ⅓ avg 611ms
Headshot accuracy18.9%−2.0%
first ⅓ avg 20.9% → last ⅓ avg 18.9%

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 · mirage, 8 Jul →
39%Best headshot accuracy · 13–3 · mirage, 11 Apr →
438msFastest reaction time · 1–13 · mirage, 15 Aug →
13–0Biggest win · mirage, 8 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
10–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 80% over 5cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%0.01
infernoC188–1044%-0.01
nukeS1510–567%0.02
ancientA149–564%-0.00
anubisB105–550%-0.02
cacheC83–538%0.00
dust2S54–180%0.00
overpass—42–250%-0.01
office—10–10%0.11

Across the last 100 tracked matches.

Lifetime stats

138,278Lifetime kills
1.06K/D
5,783Matches
41.8%Match win rate
48.3%Headshot % · Top 50% of Level 8 players
14.5%Shot accuracy · Top 50% of Level 8 players
12,161MVPs
2,629Hours (in match)
8,343Bombs planted
1,407Bombs defused

Most-used weapons

AK-4752,152
AWP9,351
P2505,609
FAMAS3,020
UMP-451,710

Lifetime map wins

8,091inferno
7,343dust2
5,253nuke
2,836train
1,364vertigo
1,001cbble
461office
92italy

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

Faceit stats

Combat

219Matches
53%Win rate
1.07Avg K/D
64.2ADR
46%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5155%1.2215.4
Vertigo2357%1.0115.0
Ancient2055%1.0814.9
Anubis1747%0.8412.4
Inferno1747%1.3717.1
Nuke1369%1.3216.7
Overpass922%1.3818.6
Dust2367%0.9311.7

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.

19.1%Headshot accuracy
33.8%Accuracy (enemy spotted)
40.0%Spray accuracy
90.0%Counter-strafing
8.8°Preaim
612msReaction time
32.0%T opening success
33.5%CT opening success
0.54Enemies flashed / flash
4.6%Flash assists
11.43HE damage / grenade
8.50Flashes / 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

    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 32.0129% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0616%14 Oct →
mirage2–130.0127%25 Aug →
dust213–110.0328%25 Aug →
nuke11–13-0.0020%24 Aug →
inferno13–7-0.0134%20 Aug →
nuke10–130.0118%20 Aug →
mirage7–13-0.0621%19 Aug →
anubis11–13-0.0223%19 Aug →
nuke13–90.0415%19 Aug →
cache4–13-0.0517%19 Aug →
inferno13–9-0.0521%19 Aug →
nuke13–30.0226%18 Aug →
dust29–13-0.0618%18 Aug →
mirage14–160.0116%18 Aug →
anubis13–110.0421%18 Aug →
inferno15–15-0.0121%17 Aug →
mirage13–7-0.0221%17 Aug →
inferno13–90.0216%17 Aug →
mirage13–70.0123%15 Aug →
mirage1–13-0.0313%15 Aug →
ancient13–20.0921%3 Aug →
nuke13–1-0.0316%3 Aug →
ancient13–70.0112%3 Aug →
nuke13–9-0.0420%20 Jul →
cache16–12-0.0117%15 Jul →
cache14–16-0.0017%14 Jul →
anubis13–8-0.0512%14 Jul →
ancient13–8-0.0114%14 Jul →
anubis1–13-0.020%14 Jul →
dust213–50.0229%14 Jul →
nuke11–130.0521%14 Jul →
inferno13–110.0219%14 Jul →
cache7–130.0414%11 Jul →
mirage5–130.0319%9 Jul →
nuke13–8-0.0013%9 Jul →
inferno11–13-0.0119%9 Jul →
mirage13–70.0923%8 Jul →
cache13–10.0020%8 Jul →
cache7–13-0.018%8 Jul →
mirage13–9-0.077%8 Jul →
mirage13–00.2227%8 Jul →
nuke13–80.0212%7 Jul →
inferno13–80.0416%7 Jul →
cache12–120.0519%7 Jul →
anubis13–8-0.0016%7 Jul →
mirage13–0-0.0021%7 Jul →
nuke13–60.0817%6 Jul →
cache13–110.0215%6 Jul →
ancient11–13-0.0216%6 Jul →
mirage10–13-0.0127%5 Jul →
nuke7–130.0320%5 Jul →
mirage13–110.0118%2 Jul →
ancient13–60.0721%2 Jul →
anubis3–13-0.0210%2 Jul →
dust213–8-0.0327%2 Jul →
inferno6–13-0.0123%2 Jul →
mirage13–10-0.0019%2 Jul →
inferno9–13-0.0015%1 May →
nuke16–14-0.027%27 Apr →
mirage13–9-0.0131%27 Apr →
ancient13–10-0.0118%27 Apr →
inferno11–13-0.049%26 Apr →
overpass8–130.0024%26 Apr →
ancient13–8-0.017%26 Apr →
inferno2–13-0.0126%25 Apr →
mirage13–6-0.0225%25 Apr →
overpass1–13-0.1015%25 Apr →
ancient13–80.0212%25 Apr →
inferno9–130.0118%23 Apr →
nuke13–10-0.0224%23 Apr →
mirage9–130.0418%23 Apr →
ancient5–13-0.0533%23 Apr →
overpass13–110.0517%22 Apr →
dust213–10.0529%22 Apr →
anubis3–1-0.0222%22 Apr →
nuke13–40.0921%22 Apr →
mirage13–100.0021%22 Apr →
inferno13–2-0.0231%22 Apr →
mirage5–130.0526%21 Apr →
ancient5–13-0.0722%21 Apr →
inferno8–13-0.0426%20 Apr →
anubis13–16-0.0222%20 Apr →
mirage4–130.0724%20 Apr →
nuke9–130.0617%20 Apr →
ancient9–13-0.046%20 Apr →
anubis14–16-0.0417%20 Apr →
mirage10–13-0.0513%18 Apr →
overpass13–6-0.0118%18 Apr →
inferno14–160.0113%17 Apr →
inferno13–100.0035%16 Apr →
mirage13–110.0215%16 Apr →
office11–130.1121%11 Apr →
ancient13–30.0317%11 Apr →
mirage13–30.0039%11 Apr →
inferno7–13-0.0015%9 Apr →
ancient10–130.0524%9 Apr →
mirage6–13-0.0221%9 Apr →
inferno13–11-0.0217%9 Apr →
anubis13–10-0.0125%9 Apr →
ancient13–2-0.0811%9 Apr →

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 →

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