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Siljeeeh — CS2 Stats

76561198362962318[U:1:402696590]

4,573Tracked matches60%Win rate2020Tracked since
8,897Hours in CS15Hrs last 2 wks
CSDB Rating6.6 SolidAggressive Rifler
FaceitLevel 10 · 2,750 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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%51.9%
Shot accuracy12.5%13.7%
Kill/death ratio1.001.08
Match win rate45.0%48.7%

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CSDB.GGSiljeeehFACEITLevel 10 · 2,750 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning61
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWWLLWLWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6
Aggression7.3
Utility5.6
Positioning6.1
Opening Duels3.1
Clutch3.6

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 94% 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 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim7.6
Positioning6.1
Utility5.6
Mechanics6.7
Opening Duels3.1
Win Impact8.3

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 rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time558ms−31ms
first ⅓ avg 589ms → last ⅓ avg 558ms
Headshot accuracy18.5%−1.2%
first ⅓ avg 19.7% → last ⅓ avg 18.5%

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.

Highlights

0.15Best rating — mirage 13–2
13–2Biggest win — nuke
6Longest win streak
W2Current streak
11–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC2712–1544%-0.01
mirageA1811–761%0.01
dust2C177–1041%-0.02
ancientC167–944%-0.01
infernoD72–529%-0.01
cacheS54–180%0.02
trainA53–260%-0.02
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

331,069Lifetime kills
1.00K/D
10,905Matches
45.0%Match win rate
59.1%Headshot % · Top 25% of Level 10 players
12.5%Shot accuracy
25,029MVPs
14,471Hours (in match)
11,899Bombs planted
3,539Bombs defused

Most-used weapons

AK-47187,445
M4A4 / M4A1-S39,780
P2000 / USP-S22,865
Desert Eagle19,481
AWP11,568
Glock-188,472
FAMAS6,374
MP96,040
Knife4,486
Galil AR3,518

Lifetime map wins

16,756nuke
14,392inferno
11,510dust2
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

4,964Matches
51%Win rate
0.99Avg K/D
72.2ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient54556%1.0014.0
Mirage50648%0.9513.9
Nuke44259%1.0414.5
Anubis20445%0.9414.0
Dust219245%1.0214.0
Vertigo14653%1.0114.2
Inferno13145%0.9713.6
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.

18.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.5%Spray accuracy
80.2%Counter-strafing
9.5°Preaim
555msReaction time
34.0%T opening success
50.5%CT opening success
0.61Enemies flashed / flash
9.3%Flash assists
7.71HE damage / grenade
7.32Flashes / 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 33.9795% — 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
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 →
nuke16–14-0.038%24 Oct →
nuke7–130.0229%21 Oct →
ancient13–11-0.0115%19 Oct →
dust24–13-0.0131%19 Oct →
train4–13-0.0623%17 Oct →
nuke3–13-0.0214%17 Oct →
dust26–13-0.0522%17 Oct →
nuke4–130.0033%17 Oct →
dust211–130.0425%13 Oct →
inferno6–13-0.0729%9 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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