kKnz90 — CS2 Stats

76561197999659517[U:1:39393789]✓ No bans

1,160Tracked matches44%Win rate2020Tracked since
2,872Hours in CS
CSDB Rating4.8 DevelopingHybrid Rifler
Premier CS Rating21,641Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#7552 of 22700 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 rate52.8%47.2%49.0%above
Shot accuracy16.2%12.3%13.1%above
Kill/death ratio1.181.071.08above
Match win rate39.9%46.3%46.9%7.1% 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.GGkKnz90FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,641 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning41
Utility58

0–100 skill scores via Leetify.

Recent form

COLD46495Last 10046%Win rateLLLTLLTWLW

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression4.5
Utility5.8
Positioning4.1
Opening Duels0.8
Clutch4.8

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.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim6.1
Positioning4.1
Utility5.8
Mechanics4.9
Opening Duels1.6
Win Impact3.1

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time589ms−21ms
first ⅓ avg 610ms → last ⅓ avg 589ms
Headshot accuracy17.9%−1.1%
first ⅓ avg 19.0% → last ⅓ avg 17.9%

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.

Highlights

0.21Best rating — nuke 9–2
131Biggest win — ancient
6Longest win streak
L3Current streak
1011In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
infernoD2791833%-0.01
mirageB189950%-0.01
ancientC1761135%-0.00
overpassB137654%0.01
anubisB84450%-0.00
dust2S86275%0.01
nukeS54180%0.07
train21150%-0.01
cache1010%0.06
vertigo1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,127Lifetime kills
1.18K/D · Top 50% of Level 8 players
4,729Matches
39.9%Match win rate
52.8%Headshot % · Top 25% of Level 8 players
16.2%Shot accuracy · Top 25% of Level 8 players
15,013MVPs
2,872Hours (in match)
4,104Bombs planted
1,642Bombs defused

Most-used weapons

AK-4755,776
AWP18,679
P2503,925
MAC-103,403
MP92,898
Knife2,801

Lifetime map wins

9,752dust2
9,466inferno
2,000nuke
1,873train
1,509vertigo
1,380cbble
177lake
39office

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

Faceit stats

Combat

205Matches
58%Win rate
1.08Avg K/D
82.1ADR
48%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3765%1.2917.0
Inferno3664%1.0715.8
Anubis3569%1.0716.0
Dust21953%1.0115.0
Mirage1861%1.1517.6
Nuke825%0.7915.5
Vertigo250%1.2419.5
Train10%0.6710.0

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.

18.0%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.5%Spray accuracy
71.9%Counter-strafing
10.3°Preaim
579msReaction time
23.9%T opening success
42.7%CT opening success
0.54Enemies flashed / flash
2.6%Flash assists
8.99HE damage / grenade
12.52Flashes / 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 23.9014% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0616%11 Jun
cache11–130.0624%29 May
inferno4–13-0.0413%29 May
mirage12–12-0.0319%29 May
mirage11–130.0312%27 May
vertigo0–13-0.0424%27 May
inferno12–120.0116%26 May
inferno13–80.0617%31 Mar
ancient7–13-0.0719%31 Mar
anubis13–50.0115%29 Mar
inferno8–130.0216%29 Mar
ancient9–13-0.0125%24 Mar
mirage13–60.0226%22 Mar
inferno10–130.0013%20 Mar
inferno13–100.0316%17 Mar
dust213–11-0.0012%16 Mar
inferno13–4-0.0124%16 Mar
dust213–11-0.0527%14 Mar
overpass13–80.0216%12 Mar
mirage13–90.0824%12 Mar
anubis15–15-0.0421%12 Mar
inferno9–13-0.0529%9 Mar
mirage13–60.0212%9 Mar
mirage9–13-0.1114%7 Mar
inferno10–13-0.0311%7 Mar
anubis8–13-0.0119%7 Mar
ancient16–140.0016%7 Mar
ancient13–100.0019%5 Mar
inferno8–13-0.0214%5 Mar
mirage11–130.0315%5 Mar
ancient5–13-0.0114%4 Mar
overpass13–7-0.0119%4 Mar
inferno9–13-0.0915%4 Mar
inferno13–9-0.0121%3 Mar
mirage13–8-0.0321%3 Mar
inferno2–13-0.0224%1 Mar
ancient5–13-0.038%1 Mar
dust213–70.0429%1 Mar
anubis11–13-0.0328%1 Mar
inferno13–11-0.0121%1 Mar
overpass6–13-0.0112%28 Feb
mirage13–110.0417%28 Feb
inferno3–13-0.0919%28 Feb
overpass13–60.0410%27 Feb
mirage13–9-0.0317%27 Feb
overpass9–13-0.0729%27 Feb
inferno11–13-0.0111%24 Feb
mirage10–13-0.0219%24 Feb
nuke15–150.0218%24 Feb
anubis13–80.0018%20 Feb
ancient13–10.1030%20 Feb
ancient13–7-0.0216%18 Feb
inferno13–80.0116%18 Feb
ancient9–13-0.0410%16 Feb
inferno9–130.0120%16 Feb
overpass13–11-0.0319%16 Feb
mirage9–13-0.0218%14 Feb
ancient6–130.0127%14 Feb
dust210–13-0.0724%14 Feb
dust213–40.0315%14 Feb
ancient11–13-0.0312%14 Feb
mirage11–130.0228%14 Feb
inferno10–13-0.0213%14 Feb
anubis12–16-0.0218%13 Feb
ancient13–110.0118%11 Feb
anubis16–140.0115%11 Feb
inferno13–100.0120%4 Feb
inferno11–13-0.0418%4 Feb
mirage13–10-0.0421%3 Feb
overpass13–50.0516%3 Feb
overpass13–50.1518%3 Feb
inferno13–11-0.0522%2 Feb
anubis13–60.0615%27 Jan
ancient13–40.0219%27 Jan
ancient11–13-0.108%23 Jan
inferno10–130.0215%23 Jan
nuke9–20.2129%22 Jan
inferno6–13-0.0219%14 Jan
overpass4–13-0.0318%28 Aug
nuke13–50.0219%27 Aug
train13–10.0526%27 Aug
overpass13–110.0517%26 Aug
mirage13–6-0.0212%26 Aug
inferno10–130.0123%26 Aug
ancient11–130.0018%25 Aug
train4–13-0.0717%16 Aug
overpass8–130.0016%16 Aug
overpass11–130.0214%10 Aug
ancient15–150.0616%10 Aug
inferno9–13-0.0119%6 Aug
ancient9–130.0018%6 Aug
overpass13–16-0.0523%1 Aug
inferno13–90.0521%1 Aug
dust29–13-0.0526%26 Jul
nuke16–12-0.0223%26 Jul
mirage0–13-0.0213%26 Jul
mirage13–90.0118%26 Jul
dust213–20.0526%26 Jul
nuke13–20.1424%26 Jul
dust213–50.1518%26 Jul

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 →