Siljeeeh

Siljeeeh — CS2 Stats

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

4,641Tracked matches53%Win rate2020Tracked since
9,008Hours in CS42Hrs 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 22 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,750 → 2,750
+42Tracked matches · now 4,641
−6.7ppWin rate · 60.0% → 53.3%

Rating over time

Faceit ELO: 2,750 +0 30 Aug – 22 Sept · 5 observations
2,7502,750peak 2,75030 Aug22 Sept
2,750Highest Faceit ELO seen on CSDB
65Days played since 2025-10-24

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 30 days vs previous 30

MetricLast 30Previous 30Change
Matches102——
Win rate55%——
K/D0.69——
Headshot %56%——

Measured 13 Sep 2026 → 14 Oct 2026; no observation near 60 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=29,846), 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 rate59.1%50.9%
Shot accuracy12.4%13.7%
Kill/death ratio1.001.09
Match win rate45.0%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

Aim81
Positioning62
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLWWLLLLWWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +1.1pp headshot accuracy · −3ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 458ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 529ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 531ms

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 (+1.3 against its own average).

Aim8.1
Utility5.5
Positioning6.2
Opening Duels4.3
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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 33% 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

Aim8.1
Positioning6.2
Utility5.5
Mechanics7.1
Opening Duels2.8
Win Impact6.1

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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time540ms−47ms
first ⅓ avg 586ms → last ⅓ avg 540ms
Headshot accuracy20.0%+2.4%
first ⅓ avg 17.7% → last ⅓ avg 20.0%

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
10–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 62% over 21infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB2412–1250%-0.01
mirageA2113–862%0.01
ancientC177–1041%-0.01
dust2B157–847%-0.02
cacheA74–357%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

334,190Lifetime kills
1.00K/D
11,027Matches
45.0%Match win rate
59.1%Headshot % · Top 25% of Level 10 players
12.4%Shot accuracy
25,237MVPs
15,108Hours (in match)
12,018Bombs planted
3,578Bombs defused

Most-used weapons

AK-47189,324
AWP11,600
FAMAS6,395
MP96,087
Knife4,553

Lifetime map wins

17,046nuke
14,543inferno
11,661dust2
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

5,081Matches
51%Win rate
0.98Avg K/D
71.7ADR
46%Headshot %

Clutches & streaks

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

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient55856%1.0013.9
Mirage53748%0.9513.8
Nuke46559%1.0414.4
Anubis21045%0.9413.9
Dust220743%1.0113.9
Vertigo14653%1.0114.2
Inferno14346%0.9713.7
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.

20.0%Headshot accuracy
35.4%Accuracy (enemy spotted)
40.9%Spray accuracy
81.9%Counter-strafing
9.3°Preaim
542msReaction time
33.0%T opening success
49.1%CT opening success
0.58Enemies flashed / flash
9.7%Flash assists
7.09HE damage / grenade
7.53Flashes / 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 33.0206% — 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
cache9–13-0.0328%11 Oct →
mirage13–11-0.0224%11 Oct →
nuke13–6-0.0227%11 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 →
inferno13–90.0127%28 Oct →
nuke6–13-0.0220%27 Oct →
nuke13–7-0.0222%26 Oct →
ancient4–13-0.0210%24 Oct →
dust213–7-0.0328%24 Oct →

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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