Silkki

Silkki — CS2 Stats

FI76561198207990268[U:1:247724540]Steam profile ↗✓ No bans

640Tracked matches62%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 640 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,601 -1,802 2 Mar – 18 Jun · 19 days played
16,98521,403peak 21,4032 Mar18 Jun
21,521Peak Premier in tracked matches
23Days played since 2026-03-02

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

Share this profile

CSDB.GGSilkkiFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning63
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWTLWWWLLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −2.7pp headshot accuracy · +33ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 661ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 639ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 622ms

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).

Aim7.1
Utility5.8
Positioning6.3
Opening Duels5.4
Clutch4.0

Effective flashes

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

m0NESY

Plays most like m0NESY 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

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

Aim7.1
Positioning6.3
Utility5.8
Mechanics6.0
Opening Duels4.7
Win Impact9.0

Composite 6.5/10 (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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time652ms−16ms
first ⅓ avg 668ms → last ⅓ avg 652ms
Headshot accuracy19.7%−1.4%
first ⅓ avg 21.1% → last ⅓ avg 19.7%

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

0.10Best match rating · 13–1 · ancient, 1 May →
48%Best headshot accuracy · 10–13 · mirage, 6 Jun →
453msFastest reaction time · 11–5 · mirage, 18 Jun →
13–1Biggest win · ancient, 1 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–11In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 57% over 7nukeWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B209–1145%-0.02
ancientA1810–856%-0.03
nukeC156–940%-0.02
mirageC156–940%-0.02
anubisB115–645%-0.00
overpassA74–357%-0.01
infernoA74–357%-0.02
cache—42–250%-0.02
italy—11–0100%-0.05
train—11–0100%-0.00
warden—11–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

279Matches
51%Win rate
1.06Avg K/D
67.5ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
8%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1560%1.1515.7
Ancient1258%1.0813.6
Nuke956%1.0517.3
Mirage540%1.4819.2
Dust230%0.6215.0
Overpass10%0.649.0
Inferno10%0.478.0

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.

20.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
41.7%Spray accuracy
77.1%Counter-strafing
8.6°Preaim
638msReaction time
45.6%T opening success
51.9%CT opening success
0.77Enemies flashed / flash
5.3%Flash assists
8.73HE damage / grenade
6.04Flashes / match

Recommended for you

Spend your practice time on Nuke

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–30.0325%24 Jul →
cache15–15-0.0313%24 Jul →
anubis14–160.0517%18 Jun →
mirage11–50.0023%18 Jun →
dust213–90.0424%14 Jun →
anubis13–30.0523%14 Jun →
dust23–13-0.086%14 Jun →
nuke4–13-0.0728%14 Jun →
overpass13–110.0319%14 Jun →
ancient1–13-0.0914%14 Jun →
dust213–100.0019%14 Jun →
ancient13–110.0221%10 Jun →
mirage10–130.0320%6 Jun →
overpass13–10-0.0630%6 Jun →
mirage10–13-0.0448%6 Jun →
anubis11–13-0.0419%6 Jun →
ancient13–80.0614%6 Jun →
dust27–13-0.0517%6 Jun →
mirage13–100.0718%6 Jun →
ancient13–3-0.0613%6 Jun →
dust212–16-0.0618%6 Jun →
anubis13–90.0118%6 Jun →
ancient13–7-0.047%6 Jun →
nuke13–70.0132%6 Jun →
ancient13–110.0221%6 Jun →
dust27–13-0.0110%6 Jun →
mirage13–80.0224%6 Jun →
ancient11–13-0.0814%2 Jun →
dust216–14-0.0119%2 Jun →
inferno13–6-0.0234%29 May →
nuke16–13-0.058%29 May →
ancient3–6-0.0514%29 May →
inferno10–13-0.0320%29 May →
nuke13–5-0.0420%29 May →
dust213–90.0629%22 May →
inferno7–130.0318%22 May →
dust215–150.0334%22 May →
nuke13–50.0342%14 May →
anubis13–110.0422%9 May →
ancient14–16-0.0326%9 May →
ancient4–13-0.0719%9 May →
mirage11–13-0.0217%9 May →
dust213–10-0.0618%9 May →
nuke16–130.0632%9 May →
dust210–13-0.0724%9 May →
mirage13–11-0.0320%5 May →
nuke8–13-0.0118%5 May →
ancient16–14-0.0223%5 May →
overpass10–130.0417%5 May →
ancient13–10.1020%1 May →
dust211–13-0.0319%1 May →
nuke6–130.0118%1 May →
cache13–8-0.0212%1 May →
nuke7–9-0.0415%1 May →
cache13–10-0.0113%1 May →
cache12–12-0.0236%1 May →
italy13–9-0.0533%27 Apr →
mirage6–13-0.0919%27 Apr →
ancient13–11-0.0233%23 Apr →
dust213–60.0420%23 Apr →
train13–10-0.0034%23 Apr →
inferno9–5-0.0332%23 Apr →
inferno3–13-0.0322%19 Apr →
mirage4–13-0.0713%19 Apr →
dust216–14-0.0624%19 Apr →
anubis13–90.037%19 Apr →
nuke7–13-0.0122%16 Apr →
nuke8–13-0.0611%16 Apr →
dust23–13-0.0832%16 Apr →
ancient13–9-0.0011%16 Apr →
overpass13–8-0.0516%28 Mar →
mirage11–13-0.0322%22 Mar →
dust210–13-0.0322%22 Mar →
overpass10–13-0.0326%22 Mar →
anubis9–1-0.0321%22 Mar →
overpass8–13-0.0121%22 Mar →
warden13–60.0523%22 Mar →
mirage3–130.0122%22 Mar →
inferno13–8-0.0411%18 Mar →
anubis5–13-0.0912%18 Mar →
overpass13–70.0030%14 Mar →
mirage11–13-0.0423%14 Mar →
ancient13–110.0114%14 Mar →
dust213–100.0223%14 Mar →
mirage5–13-0.1022%14 Mar →
ancient13–16-0.0518%14 Mar →
nuke10–13-0.0514%14 Mar →
anubis5–13-0.0037%14 Mar →
inferno13–110.0125%14 Mar →
dust211–13-0.0123%14 Mar →
dust213–70.0620%14 Mar →
nuke11–13-0.0410%10 Mar →
anubis4–13-0.0729%10 Mar →
mirage13–8-0.0332%6 Mar →
ancient4–13-0.1313%6 Mar →
dust24–13-0.0624%6 Mar →
anubis8–13-0.0124%6 Mar →
nuke3–13-0.0929%2 Mar →
mirage16–12-0.0518%2 Mar →
ancient10–13-0.0418%2 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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