Billiga Billiga

Billiga Billiga — CS2 Stats

76561199069627540[U:1:1109361812]Steam profile ↗✓ No bans

952Tracked matches48%Win rate2021Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating14,022Blue band · top ~33.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 54 days played since 17 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,022 +2,486 2 Mar17 Sept · 33 days played
11,53614,402peak 14,4022 Mar17 Sept
14,748Peak Premier in tracked matches
54Days played since 2026-02-17

Premier CS Rating

  • 380 below peak (14,402)
  • Next: Purple band at 15,000 978 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGBilliga BilligaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,022 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateWWWWLLWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · −14ms 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

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 550ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 616ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 623ms

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: SupportUtility contribution stands above the rest of this profile (+1.1 against its own average).

Aim8.0
Utility5.0
Positioning4.5
Opening Duels2.1

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

device

Plays most like device 98% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 641ms 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

Aim8.0
Positioning4.5
Utility5.0
Mechanics8.4
Opening Duels1.0
Win Impact4.4

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time649ms−83ms
first ⅓ avg 732ms → last ⅓ avg 649ms
Headshot accuracy21.9%+1.6%
first ⅓ avg 20.3% → last ⅓ avg 21.9%

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

0.17Best match rating · 6–13 · anubis, 17 May
100%Best headshot accuracy · 0–4 · anubis, 24 Apr
469msFastest reaction time · 9–13 · nuke, 24 Aug
13–2Biggest win · mirage, 2 Mar

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
92In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 69% over 13cacheWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB30151550%-0.00
anubisB157847%-0.01
nukeC146843%-0.00
ancientS139469%-0.01
cacheD102820%-0.02
infernoC83538%-0.02
dust2S64267%-0.02
overpass330100%0.02
eldorado1010%-0.28

Across the last 100 tracked matches.

Faceit stats

Combat

153Matches
52%Win rate
1.08Avg K/D
ADR
44%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage771%1.1715.6
Vertigo475%1.1915.5
Inferno367%0.7816.0
Ancient10%0.9416.0
Nuke10%0.6813.0
Anubis1100%1.6720.0

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.

23.0%Headshot accuracy
37.1%Accuracy (enemy spotted)
39.1%Spray accuracy
87.9%Counter-strafing
10.2°Preaim
641msReaction time
30.9%T opening success
36.9%CT opening success
0.51Enemies flashed / flash
4.5%Flash assists
9.16HE damage / grenade
9.78Flashes / 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 30.9092% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–90.0625%17 Sept
mirage13–70.0115%14 Sept
ancient13–100.0824%14 Sept
mirage13–50.0423%14 Sept
ancient13–16-0.0933%8 Sept
mirage10–13-0.0319%8 Sept
mirage13–80.0234%8 Sept
anubis11–13-0.0523%8 Sept
nuke3–13-0.1220%31 Aug
nuke8–13-0.0023%30 Aug
inferno16–130.0424%27 Aug
cache3–13-0.0615%24 Aug
nuke9–13-0.0419%24 Aug
mirage5–13-0.0221%21 Aug
inferno16–140.0330%14 Aug
mirage13–90.0037%4 Aug
mirage3–13-0.078%4 Aug
dust213–10-0.0325%24 Jul
anubis4–13-0.0331%24 Jul
cache7–13-0.1119%23 Jul
mirage4–13-0.0822%23 Jul
anubis13–6-0.0013%22 Jul
mirage3–13-0.0615%22 Jul
mirage13–80.0226%21 Jul
nuke13–7-0.0421%21 Jul
inferno15–15-0.0726%20 Jul
mirage7–130.0313%20 Jul
eldorado0–9-0.2814%20 Jul
ancient13–110.0816%12 Jul
ancient8–13-0.0423%4 Jul
cache13–50.0830%8 Jun
cache9–130.0129%28 May
mirage7–130.027%28 May
nuke13–40.0724%25 May
mirage13–10-0.0411%17 May
anubis6–130.1721%17 May
cache9–13-0.0727%12 May
cache5–13-0.049%12 May
anubis13–110.0119%11 May
anubis16–120.0024%10 May
dust213–7-0.0216%10 May
ancient10–130.0320%10 May
cache13–100.0226%8 May
cache6–13-0.0618%6 May
mirage15–15-0.0226%3 May
anubis6–13-0.0821%3 May
nuke8–13-0.0023%3 May
mirage13–4-0.0621%3 May
mirage7–130.0325%3 May
cache12–12-0.0130%3 May
mirage7–13-0.0213%2 May
anubis13–9-0.0114%2 May
cache8–130.0620%30 Apr
dust213–9-0.0319%24 Apr
anubis0–4-0.05100%24 Apr
nuke13–30.1125%20 Apr
anubis15–15-0.0620%20 Apr
mirage13–8-0.0323%20 Apr
inferno0–13-0.0413%19 Apr
inferno8–13-0.0626%17 Apr
overpass13–40.0516%15 Apr
mirage5–130.0318%13 Apr
anubis8–130.0538%13 Apr
anubis13–5-0.0310%12 Apr
ancient2–0-0.080%12 Apr
mirage8–13-0.0414%8 Apr
anubis13–9-0.0319%7 Apr
nuke7–13-0.0810%30 Mar
ancient11–13-0.0226%26 Mar
mirage13–40.1213%25 Mar
overpass13–110.0425%25 Mar
dust27–13-0.0426%24 Mar
nuke13–160.0120%24 Mar
mirage10–130.0319%23 Mar
ancient13–11-0.0214%23 Mar
ancient13–9-0.0218%23 Mar
dust27–13-0.0621%17 Mar
mirage12–16-0.0415%14 Mar
dust213–40.0420%14 Mar
nuke7–13-0.0124%14 Mar
mirage13–11-0.0516%14 Mar
ancient13–100.0118%13 Mar
anubis9–13-0.0216%10 Mar
inferno9–130.0119%9 Mar
nuke13–10-0.0314%9 Mar
anubis16–130.0123%9 Mar
nuke13–100.0433%9 Mar
mirage13–80.0122%8 Mar
nuke8–13-0.0415%7 Mar
ancient13–11-0.1027%3 Mar
nuke13–70.1322%3 Mar
ancient13–6-0.0312%3 Mar
inferno15–15-0.0520%2 Mar
mirage10–13-0.0317%2 Mar
mirage13–10-0.0415%2 Mar
mirage13–2-0.0525%2 Mar
mirage13–100.0520%28 Feb
mirage13–80.1238%28 Feb
inferno16–13-0.018%17 Feb
overpass16–14-0.0336%17 Feb

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 →