Knight

Knight — CS2 Stats

DE76561197979842511[U:1:19576783]Steam profile ↗✓ No bans

3,345Tracked matches41%Win rate2020Tracked since
12,064Hours in CS3Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
Premier CS Rating19,538Top 50% of 212,695 CSDB-tracked playersPurple band · top ~10.3% of ranked players (population est.)
CSDB Leaderboard#92278 of 259550 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,538 -5 11 Jul – 31 Oct · 25 days played
17,50220,405peak 20,40511 Jul31 Oct
20,405Peak Premier in tracked matches
29Days played since 2026-07-11

Premier CS Rating

  • 867 below peak (20,405)
  • -163 over 30 days · steady
  • +356 over 90 days
  • Next: Pink band at 20,000 — 462 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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 rate38.7%44.4%46.9%8.2% short
Shot accuracy10.7%11.9%13.0%2.3% short
Kill/death ratio1.101.031.08meets
Match win rate47.4%45.2%46.7%meets

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.GGKnightPREMIER19,538 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning32
Utility51

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateLWTWLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −9.5pp headshot accuracy · +72ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 647ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 580ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 544ms

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 (+2.3 against its own average).

Aim6.3
Utility5.1
Positioning3.2
Opening Duels0.2

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim6.3
Positioning3.2
Utility5.1
Mechanics6.5
Opening Duels0.0
Win Impact2.1

Composite 4.5/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time546ms−68ms
first ⅓ avg 614ms → last ⅓ avg 546ms
Headshot accuracy21.5%+1.3%
first ⅓ avg 20.2% → last ⅓ avg 21.5%

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 · 13–8 · italy, 21 Aug →
100%Best headshot accuracy · 2–7 · inferno, 1 Sept →
422msFastest reaction time · 10–13 · nuke, 1 Sept →
13–1Biggest win · dust2, 24 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 57% over 7ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheC187–1139%-0.01
infernoC166–1038%-0.01
ancientD82–625%-0.01
dust2B84–450%0.01
nukeA74–357%0.01
shelterD72–529%0.02
fachwerkC73–443%0.01
italyD62–433%0.02
boulderD62–433%0.02
vertigo—40–40%0.01
office—42–250%0.05
mirage—43–175%0.01
anubis—32–167%-0.01
overpass—11–0100%0.13
train—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

216,215Lifetime kills
1.10K/D · Top 50% of Purple band
11,733Matches
47.4%Match win rate · Top 50% of Purple band
38.7%Headshot %
10.7%Shot accuracy
26,438MVPs
4,866Hours (in match)
13,421Bombs planted
2,247Bombs defused

Most-used weapons

AK-4752,505
AWP14,836
P906,126
MAC-105,596
MP74,714
MP94,486

Lifetime map wins

18,589inferno
15,410dust2
9,791nuke
8,228cbble
5,566italy
4,665office
4,609vertigo
3,630train

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.

19.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.1%Spray accuracy
79.1%Counter-strafing
10.8°Preaim
547msReaction time
24.2%T opening success
29.1%CT opening success
0.36Enemies flashed / flash
6.3%Flash assists
7.93HE damage / grenade
11.52Flashes / 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. 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 0.3648 — below the 0.5 mark we flag

    Grenade Lineups →
  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 24.2411% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0123%31 Oct →
cache13–80.0110%12 Oct →
vertigo12–120.0228%26 Sept →
anubis13–11-0.027%26 Sept →
italy6–13-0.0617%9 Sept →
inferno11–130.0426%9 Sept →
cache8–13-0.0919%4 Sept →
vertigo6–130.0736%3 Sept →
inferno13–110.0312%3 Sept →
office10–130.0217%2 Sept →
office13–80.0221%2 Sept →
vertigo7–13-0.0014%2 Sept →
inferno2–7-0.13100%1 Sept →
nuke5–130.0218%1 Sept →
overpass13–80.1320%1 Sept →
anubis13–70.0020%1 Sept →
nuke10–130.0522%1 Sept →
inferno13–5-0.0120%1 Sept →
italy11–130.0237%31 Aug →
italy13–50.0418%31 Aug →
inferno5–13-0.0214%31 Aug →
cache10–13-0.0617%31 Aug →
inferno13–110.0110%31 Aug →
ancient13–110.0515%31 Aug →
dust27–13-0.0717%30 Aug →
inferno6–13-0.0311%30 Aug →
cache16–130.0116%29 Aug →
nuke13–110.0422%28 Aug →
shelter6–130.0525%28 Aug →
dust25–130.0116%28 Aug →
boulder3–90.0226%28 Aug →
italy1–130.0423%28 Aug →
mirage13–110.0014%28 Aug →
cache13–5-0.0211%27 Aug →
nuke13–8-0.0314%25 Aug →
ancient4–13-0.0917%25 Aug →
inferno13–110.0330%25 Aug →
ancient5–13-0.0720%24 Aug →
dust213–10.1024%24 Aug →
ancient15–150.0318%24 Aug →
ancient13–110.0216%24 Aug →
fachwerk9–13-0.0027%21 Aug →
italy13–80.2219%21 Aug →
italy6–13-0.1011%21 Aug →
vertigo9–13-0.039%21 Aug →
train13–60.0126%21 Aug →
dust212–12-0.0213%21 Aug →
mirage13–60.0127%21 Aug →
office13–80.1732%19 Aug →
fachwerk12–120.0417%19 Aug →
cache0–3-0.1033%19 Aug →
nuke13–40.0431%18 Aug →
inferno13–6-0.0325%18 Aug →
inferno7–13-0.0133%18 Aug →
cache11–130.0633%18 Aug →
dust213–110.0116%17 Aug →
ancient9–130.0220%17 Aug →
cache13–100.0220%27 Jul →
cache13–80.0132%27 Jul →
inferno9–13-0.0830%27 Jul →
mirage6–13-0.0320%27 Jul →
inferno7–130.0516%27 Jul →
fachwerk4–130.0125%26 Jul →
dust25–13-0.0324%26 Jul →
inferno2–13-0.0220%26 Jul →
cache13–40.0314%26 Jul →
nuke6–13-0.0221%26 Jul →
shelter8–13-0.0114%26 Jul →
office2–130.0021%26 Jul →
fachwerk13–40.0126%26 Jul →
cache6–13-0.0535%23 Jul →
anubis6–13-0.0214%22 Jul →
inferno14–16-0.0218%22 Jul →
dust213–70.0321%22 Jul →
inferno11–13-0.0120%22 Jul →
cache7–13-0.0431%22 Jul →
cache8–130.0112%20 Jul →
ancient6–13-0.0121%20 Jul →
dust213–100.0628%18 Jul →
cache8–13-0.0515%18 Jul →
boulder4–13-0.014%17 Jul →
mirage13–90.0537%17 Jul →
nuke13–7-0.0218%17 Jul →
cache2–130.0230%17 Jul →
inferno13–80.0013%14 Jul →
cache1–13-0.0426%14 Jul →
fachwerk13–7-0.0227%14 Jul →
fachwerk7–13-0.0417%14 Jul →
boulder13–9-0.0520%14 Jul →
boulder13–10.1019%14 Jul →
shelter13–10.0722%14 Jul →
shelter13–50.0314%14 Jul →
boulder11–13-0.0123%14 Jul →
shelter3–13-0.0113%14 Jul →
shelter12–120.0013%14 Jul →
fachwerk13–60.0417%14 Jul →
boulder9–130.0912%14 Jul →
shelter11–13-0.0021%14 Jul →
cache16–120.0420%12 Jul →
ancient6–13-0.0325%11 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 →

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