Silent_K1 ®

Silent_K1 ® — CS2 Stats

AT76561197971178073[U:1:10912345]Steam profile ↗✓ No bans

319Tracked matches57%Win rate2020Tracked since
1,251Hours in CS
CSDB Rating5.8 SolidPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,267 +1,767 6 Mar – 28 Jun · 19 days played
14,50017,757peak 17,7576 Mar28 Jun
17,757Peak Premier in tracked matches
50Days played since 2025-04-28

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

Performance scores

Aim63
Positioning58
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateWWLWWLLLLL

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · −7.0pp headshot accuracy · −31ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 640ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 656ms

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 (+0.9 against its own average).

Aim6.3
Utility5.1
Positioning5.8
Opening Duels3.7

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: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 638ms 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

Aim6.3
Positioning5.8
Utility5.1
Mechanics6.1
Opening Duels3.3
Win Impact7.4

Composite 5.8/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time649ms−63ms
first ⅓ avg 712ms → last ⅓ avg 649ms
Headshot accuracy18.9%+0.0%
first ⅓ avg 18.9% → 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 · 13–3 · dust2, 25 Feb →
38%Best headshot accuracy · 13–1 · mirage, 21 Jul →
438msFastest reaction time · 15–15 · mirage, 25 Jul →
13–1Biggest win · mirage, 21 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 64% over 14infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B3115–1648%0.02
nukeA1710–759%0.00
infernoC166–1038%-0.01
mirageA149–564%0.03
cacheA74–357%0.02
ancientB63–350%0.00
overpass—32–167%0.00
anubis—20–20%0.01
train—21–150%-0.01
grail—20–20%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,346Lifetime kills
1.36K/D · Top 10% of tracked players
3,764Matches
48.5%Match win rate · Top 25% of tracked players
38.9%Headshot %
17.8%Shot accuracy · Top 10% of tracked players
7,556MVPs
1,251Hours (in match)
2,951Bombs planted
609Bombs defused

Most-used weapons

AK-4716,051
AWP11,715
P903,692
P2502,811
AUG2,724

Lifetime map wins

7,489dust2
4,207inferno
2,174nuke
739train
737cbble
437office
334assault
300vertigo

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

Faceit stats

Combat

54Matches
46%Win rate
1.36Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLL

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.

18.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.6%Spray accuracy
77.4%Counter-strafing
9.5°Preaim
638msReaction time
34.5%T opening success
51.6%CT opening success
0.52Enemies flashed / flash
4.9%Flash assists
9.43HE damage / grenade
5.50Flashes / 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 34.5261% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0213%11 Aug →
cache13–110.0218%11 Aug →
inferno5–13-0.0134%9 Aug →
cache13–11-0.0318%2 Aug →
nuke13–20.029%2 Aug →
nuke11–13-0.0517%2 Aug →
mirage1–13-0.0710%31 Jul →
ancient5–13-0.079%29 Jul →
inferno2–9-0.2325%29 Jul →
dust24–13-0.0417%25 Jul →
mirage15–15-0.0224%25 Jul →
mirage13–10.0738%21 Jul →
nuke5–130.0122%17 Jul →
dust213–30.0315%17 Jul →
mirage13–100.0519%14 Jul →
dust213–20.0332%14 Jul →
nuke12–12-0.0612%7 Jul →
dust213–8-0.0022%7 Jul →
cache13–60.0524%7 Jul →
cache13–80.0030%7 Jul →
nuke13–110.0311%28 Jun →
dust211–13-0.0524%28 Jun →
ancient11–130.0619%27 Jun →
inferno9–130.0217%24 Jun →
dust213–40.0611%21 Jun →
mirage11–13-0.0320%18 Jun →
ancient10–130.0317%10 Jun →
inferno13–60.0814%9 Jun →
dust213–8-0.0020%9 Jun →
inferno13–20.088%9 Jun →
dust28–13-0.0615%28 May →
cache12–120.0123%21 May →
dust213–80.0118%21 May →
inferno10–130.0630%21 May →
cache7–13-0.0020%5 May →
cache6–130.0514%5 May →
dust24–130.0227%21 Apr →
inferno9–13-0.0522%21 Apr →
inferno13–11-0.0113%31 Mar →
dust213–100.0217%25 Mar →
inferno5–00.020%25 Mar →
dust212–16-0.0016%23 Mar →
dust213–60.0815%23 Mar →
dust25–130.0123%22 Mar →
nuke13–80.0016%20 Mar →
mirage13–20.0922%16 Mar →
ancient13–6-0.0518%16 Mar →
nuke15–15-0.0324%16 Mar →
mirage11–13-0.0121%16 Mar →
inferno10–13-0.0022%15 Mar →
overpass10–13-0.0028%14 Mar →
overpass13–110.0024%14 Mar →
ancient13–90.0120%13 Mar →
dust215–150.0225%13 Mar →
dust213–40.0814%13 Mar →
mirage5–130.0222%13 Mar →
nuke13–80.0432%11 Mar →
mirage13–20.0416%11 Mar →
nuke13–11-0.0119%9 Mar →
anubis12–120.0229%7 Mar →
overpass13–40.0119%7 Mar →
mirage13–30.1018%6 Mar →
nuke15–150.0117%6 Mar →
nuke13–90.0429%2 Mar →
dust211–13-0.0116%2 Mar →
nuke13–10-0.0116%1 Mar →
mirage13–100.0019%1 Mar →
dust213–30.0023%1 Mar →
inferno4–130.0213%27 Feb →
nuke13–30.1014%27 Feb →
anubis5–130.0117%26 Feb →
nuke2–13-0.0413%26 Feb →
mirage13–40.0318%26 Feb →
inferno16–140.0722%26 Feb →
dust213–30.2226%25 Feb →
dust211–130.0220%25 Feb →
mirage13–60.0815%25 Feb →
inferno11–13-0.1014%22 Feb →
dust25–130.0019%22 Feb →
dust213–10.1317%22 Jan →
dust25–13-0.0018%22 Jan →
ancient13–40.0326%19 Nov →
train12–120.0121%22 May →
nuke13–10-0.0025%22 May →
train5–0-0.020%22 May →
dust213–160.0227%19 May →
dust26–130.0335%19 May →
inferno13–10-0.0325%19 May →
inferno2–130.0018%13 May →
dust25–130.0114%9 May →
dust24–13-0.0227%8 May →
grail12–120.0214%8 May →
grail12–120.0416%8 May →
mirage13–100.0517%6 May →
dust26–130.0129%6 May →
nuke13–8-0.0016%6 May →
inferno3–13-0.0715%5 May →
dust213–110.0617%28 Apr →
nuke11–13-0.0316%28 Apr →
dust213–40.0317%28 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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