Knocks

Knocks — CS2 Stats

US76561197977851841[U:1:17586113]Steam profile ↗✓ No bans

4,945Tracked matches46%Win rate2020Tracked since
5,571Hours in CS
CSDB Rating6.7 SolidSupport
Premier CS Rating24,684Pink band · top ~3.3% of ranked players (population est.)
FaceitLevel 9 · 1,403 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGKnocksFACEITLevel 9 · 1,403 ELOSTANDINGTop 20.7% of rankedPREMIER24,684 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning66
Utility80

0–100 skill scores via Leetify.

Recent form

COLD61–34–5Last 10061%Win rateLLWWLLLLTL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +4.8pp headshot accuracy · +21ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 508ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 509ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 498ms

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 (+1.8 against its own average).

Aim6.9
Utility8.0
Positioning6.6
Opening Duels5.5
Clutch4.6

Strong CT-side openerEffective flashesHigh utility contribution

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 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 80 — grenade impact well above the norm.

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

Aim6.9
Positioning6.6
Utility8.0
Mechanics6.3
Opening Duels6.4
Win Impact3.8

Composite 6.7/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time495ms−0ms
first ⅓ avg 495ms → last ⅓ avg 495ms
Headshot accuracy18.1%+1.1%
first ⅓ avg 17.0% → last ⅓ avg 18.1%

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 · 13–5 · dust2, 20 Oct →
50%Best headshot accuracy · 0–4 · dust2, 15 Nov →
328msFastest reaction time · 5–13 · anubis, 8 Nov →
13–2Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
10–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 68% over 77ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S7752–2568%0.02
ancientC83–538%-0.01
anubisA74–357%0.00
mirage—41–325%-0.02
inferno—20–20%0.00
nuke—10–10%0.01
cache—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

282,731Lifetime kills
1.43K/D
15,203Matches
59.4%Match win rate
35.7%Headshot %
12.3%Shot accuracy
31,960MVPs
5,571Hours (in match)
17,248Bombs planted
5,352Bombs defused

Most-used weapons

AK-4761,762
AWP49,792
P9017,413
MP911,310
MAC-1010,109
P2509,345

Lifetime map wins

93,321dust2
12,132inferno
4,549nuke
2,051train
1,813vertigo
1,684office
1,399cbble
650italy

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

Faceit stats

Combat

175Matches
59%Win rate
1.28Avg K/D
79.3ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust24879%1.6317.3
Ancient4245%1.0414.4
Anubis2357%1.1414.5
Cache967%1.0112.6
Inferno633%1.0415.7
Mirage560%1.2114.8
Nuke450%1.4421.5
Overpass333%0.9417.0

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.

17.2%Headshot accuracy
31.3%Accuracy (enemy spotted)
34.7%Spray accuracy
78.2%Counter-strafing
9.9°Preaim
495msReaction time
50.8%T opening success
60.1%CT opening success
0.80Enemies flashed / flash
13.4%Flash assists
12.66HE damage / grenade
17.72Flashes / match

Recommended for you

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.

38% 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
nuke11–130.0117%15 Nov →
dust20–4-0.1050%15 Nov →
dust213–70.0116%12 Nov →
dust216–130.0425%11 Nov →
mirage10–13-0.0418%11 Nov →
mirage9–13-0.0417%11 Nov →
mirage5–13-0.0419%11 Nov →
ancient1–13-0.086%11 Nov →
dust212–120.0721%9 Nov →
dust22–130.0417%8 Nov →
anubis13–16-0.0022%8 Nov →
anubis5–13-0.019%8 Nov →
dust213–8-0.0218%7 Nov →
dust213–5-0.0120%7 Nov →
dust213–70.0612%7 Nov →
dust212–120.0213%7 Nov →
dust213–11-0.0012%7 Nov →
dust211–130.0116%7 Nov →
dust213–70.0523%7 Nov →
dust213–50.0514%5 Nov →
dust213–110.0818%3 Nov →
ancient7–130.0411%3 Nov →
dust213–100.0129%2 Nov →
dust211–130.0619%2 Nov →
ancient14–160.0217%1 Nov →
dust29–130.0111%1 Nov →
dust213–60.0318%1 Nov →
dust213–110.0215%31 Oct →
dust213–50.038%31 Oct →
anubis2–13-0.0519%31 Oct →
anubis19–17-0.0320%29 Oct →
dust212–12-0.0225%28 Oct →
dust213–30.1121%28 Oct →
dust210–130.0320%28 Oct →
dust213–110.1121%27 Oct →
dust213–80.0323%26 Oct →
ancient13–10-0.048%26 Oct →
dust213–80.0118%25 Oct →
dust213–11-0.0015%25 Oct →
inferno10–13-0.0316%25 Oct →
mirage13–60.0423%25 Oct →
ancient13–40.0817%25 Oct →
anubis16–140.0211%24 Oct →
ancient4–13-0.0215%24 Oct →
cache13–100.0117%24 Oct →
dust213–40.029%24 Oct →
dust213–50.1814%20 Oct →
dust28–130.0426%20 Oct →
dust212–12-0.0114%19 Oct →
dust25–2-0.047%19 Oct →
dust213–70.0214%18 Oct →
anubis13–80.0614%18 Oct →
dust25–13-0.0513%17 Oct →
dust28–130.0312%17 Oct →
dust213–70.0718%17 Oct →
dust28–13-0.036%15 Oct →
dust213–60.018%15 Oct →
dust29–130.0716%14 Oct →
dust213–80.1111%14 Oct →
dust27–13-0.0417%14 Oct →
dust213–50.0420%14 Oct →
dust213–4-0.0214%12 Oct →
anubis16–140.029%12 Oct →
ancient13–11-0.0112%12 Oct →
dust29–13-0.0418%12 Oct →
dust213–80.0720%12 Oct →
dust29–130.0117%11 Oct →
dust213–100.0219%11 Oct →
dust213–80.0816%9 Oct →
inferno10–130.0316%4 Oct →
dust213–80.0021%4 Oct →
dust213–50.0120%4 Oct →
dust213–70.0718%4 Oct →
dust213–70.0118%4 Oct →
dust213–100.0425%4 Oct →
dust25–130.0513%4 Oct →
dust213–7-0.0210%3 Oct →
ancient2–13-0.0521%3 Oct →
dust213–7-0.0320%3 Oct →
dust213–90.0915%3 Oct →
dust26–13-0.0611%3 Oct →
dust213–8-0.0233%1 Oct →
dust213–60.0415%1 Oct →
dust213–80.0115%1 Oct →
dust28–130.0221%30 Sept →
dust27–130.0412%29 Sept →
dust213–100.0419%28 Sept →
dust213–80.0322%27 Sept →
dust213–90.098%27 Sept →
dust213–30.0315%27 Sept →
dust213–20.0418%27 Sept →
dust213–30.0415%27 Sept →
dust213–70.0218%27 Sept →
dust26–13-0.0326%27 Sept →
dust213–8-0.0318%26 Sept →
dust213–7-0.0314%26 Sept →
dust213–11-0.0214%26 Sept →
dust213–100.1016%26 Sept →
dust212–120.0512%26 Sept →
dust24–13-0.019%26 Sept →

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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