Siljeeeh

Siljeeeh — CS2 Stats

FI76561198362962318[U:1:402696590]Steam profile ↗✓ No bans

4,679Tracked matches57%Win rate2020Tracked since
9,055Hours in CS32Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
FaceitLevel 10 · 2,750 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,750 → 2,750
+5Tracked matches · now 4,679
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Faceit ELO: 2,750 +0 30 Aug – 29 Oct · 6 observations
2,7502,750peak 2,75030 Aug29 Oct
2,750Highest Faceit ELO seen on CSDB
66Days played since 2025-11-03

Faceit ELO

  • At peak — 2,750
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 250 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-30
  • Level 10 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches12——
Win rate50%——
K/D0.72——
Headshot %54%——

Measured 29 Oct 2026 → 4 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate59.0%50.9%
Shot accuracy12.3%13.7%
Kill/death ratio0.991.09
Match win rate45.1%48.4%

Share this profile

CSDB.GGSiljeeehFACEITLevel 10 · 2,750 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,750csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83
Positioning59
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWWWLLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +2.1pp headshot accuracy · −23ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 583ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 524ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 536ms

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 (+1.5 against its own average).

Aim8.3
Utility5.3
Positioning5.9
Opening Duels3.0
Clutch3.6

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

b1t

Plays most like b1t 97% playstyle similarity

Most alike: opening-duel success, positioning 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 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning5.9
Utility5.3
Mechanics7.2
Opening Duels2.4
Win Impact7.2

Composite 6.6/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time548ms−51ms
first ⅓ avg 599ms → last ⅓ avg 548ms
Headshot accuracy21.1%+3.9%
first ⅓ avg 17.2% → last ⅓ avg 21.1%

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

0.15Best match rating · 13–2 · mirage, 19 Apr →
33%Best headshot accuracy · 0–13 · mirage, 29 Mar →
414msFastest reaction time · 9–13 · ancient, 4 Oct →
13–2Biggest win · nuke, 19 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
10–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 59% over 22infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2213–959%0.00
nukeB2211–1150%-0.01
ancientC167–944%-0.00
dust2B157–847%-0.02
cacheA95–456%0.01
infernoD72–529%-0.00
train—43–175%-0.01
overpass—32–167%0.01
anubis—21–150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

336,111Lifetime kills
0.99K/D
11,083Matches
45.1%Match win rate
59.0%Headshot % · Top 25% of Level 10 players
12.3%Shot accuracy
25,322MVPs
15,148Hours (in match)
12,080Bombs planted
3,596Bombs defused

Most-used weapons

AK-47190,776
AWP11,604
FAMAS6,395
MP96,113
Knife4,591

Lifetime map wins

17,181nuke
14,605inferno
11,757dust2
10,134train
6,882vertigo
914cbble
896office
340lake

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

Faceit stats

Combat

5,130Matches
51%Win rate
0.98Avg K/D
71.4ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient55956%0.9913.9
Mirage55248%0.9513.8
Nuke47660%1.0414.4
Dust221445%1.0113.8
Anubis21045%0.9413.9
Inferno14946%0.9613.5
Vertigo14653%1.0114.2
Train12850%1.0214.9

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.

21.7%Headshot accuracy
35.0%Accuracy (enemy spotted)
39.4%Spray accuracy
82.6%Counter-strafing
9.0°Preaim
543msReaction time
30.4%T opening success
48.4%CT opening success
0.59Enemies flashed / flash
7.0%Flash assists
6.54HE damage / grenade
8.18Flashes / 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 30.377% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–70.0415%21 Oct →
dust213–50.0220%19 Oct →
inferno13–3-0.0232%18 Oct →
mirage7–13-0.0725%15 Oct →
cache9–13-0.0328%11 Oct →
mirage13–11-0.0224%11 Oct →
nuke13–6-0.0227%11 Oct →
cache12–16-0.0331%9 Oct →
dust213–16-0.0322%4 Oct →
ancient9–13-0.0319%4 Oct →
inferno8–13-0.0119%3 Oct →
cache6–130.0326%21 Sept →
mirage13–70.0131%7 Sept →
ancient13–100.0119%5 Sept →
mirage5–13-0.0518%1 Sept →
mirage13–50.1331%25 Aug →
dust213–8-0.0225%15 Aug →
nuke10–13-0.0217%12 Aug →
inferno8–13-0.0120%11 Aug →
dust213–100.0316%9 Aug →
ancient5–13-0.0629%5 Aug →
ancient13–70.0216%29 Jun →
mirage13–4-0.0129%27 Jun →
nuke13–80.0024%12 Jun →
dust29–13-0.0416%7 Jun →
ancient16–13-0.0015%6 Jun →
mirage10–130.0412%4 Jun →
nuke13–110.0322%4 Jun →
ancient13–60.0418%22 May →
cache13–60.0514%17 May →
cache6–13-0.0312%13 May →
cache13–11-0.0515%13 May →
ancient10–13-0.0010%10 May →
nuke6–13-0.008%10 May →
cache13–60.0226%29 Apr →
cache13–50.1122%29 Apr →
nuke16–140.0419%29 Apr →
ancient10–130.0214%29 Apr →
mirage13–11-0.0325%29 Apr →
nuke13–8-0.0113%26 Apr →
mirage9–13-0.0716%25 Apr →
ancient10–13-0.0711%25 Apr →
mirage13–100.0220%25 Apr →
inferno11–130.0520%22 Apr →
nuke13–20.0422%19 Apr →
ancient8–13-0.0210%19 Apr →
mirage13–20.1522%19 Apr →
mirage13–70.0622%12 Apr →
mirage13–9-0.0415%9 Apr →
dust213–110.0516%8 Apr →
nuke13–50.0621%8 Apr →
anubis13–40.0729%7 Apr →
ancient9–13-0.0216%5 Apr →
dust28–13-0.0616%1 Apr →
nuke8–13-0.0421%1 Apr →
mirage0–13-0.0833%29 Mar →
nuke4–13-0.106%29 Mar →
inferno10–130.0419%27 Mar →
overpass13–50.0921%27 Mar →
dust213–110.0220%26 Mar →
inferno3–13-0.074%26 Mar →
dust22–13-0.1029%26 Mar →
dust216–130.0831%25 Mar →
dust26–13-0.0914%25 Mar →
mirage16–140.0214%23 Mar →
mirage13–3-0.0216%22 Mar →
dust22–13-0.0525%18 Mar →
nuke5–13-0.0513%18 Mar →
dust25–13-0.0424%16 Mar →
nuke8–13-0.0314%16 Mar →
inferno19–17-0.0127%13 Mar →
ancient13–50.1012%12 Mar →
ancient13–9-0.0317%11 Mar →
nuke3–130.059%10 Mar →
nuke13–80.0622%10 Mar →
ancient10–13-0.0413%8 Mar →
nuke8–13-0.0525%15 Feb →
nuke13–10-0.0815%14 Feb →
dust213–70.0119%4 Feb →
mirage6–13-0.0213%6 Jan →
nuke13–5-0.0217%6 Jan →
mirage22–18-0.0413%6 Jan →
overpass13–8-0.027%4 Jan →
train13–20.019%4 Jan →
train16–14-0.0414%3 Jan →
ancient13–60.0615%3 Jan →
mirage11–130.0020%3 Jan →
nuke11–13-0.0517%17 Dec →
nuke13–20.1024%10 Dec →
mirage13–100.0318%10 Dec →
train13–40.0123%10 Dec →
nuke4–13-0.0211%10 Dec →
mirage8–130.0417%23 Nov →
overpass9–13-0.0325%19 Nov →
dust24–13-0.0717%19 Nov →
anubis8–13-0.0513%19 Nov →
ancient8–13-0.0522%16 Nov →
train7–13-0.0221%15 Nov →
mirage5–13-0.0221%9 Nov →
nuke4–13-0.0919%3 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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