elllub

elllub — CS2 Stats

76561198069788102[U:1:109522374]Steam profile ↗

954Tracked matches66%Win rate2020Tracked since
CSDB Rating6.3 SolidAggressive Rifler
Premier CS Rating18,545Purple band · top ~14.3% of ranked players (population est.)
CSDB Leaderboard#14039 of 28658 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGelllubPREMIER18,545 · Purple bandcsdb.gg/stats

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Performance scores

Aim70
Positioning56
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY56395Last 10056%Win rateWWLWWLWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.0
Aggression7.4
Utility4.7
Positioning5.6
Opening Duels3.2
Clutch5.6

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 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 653ms 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

Aim7.0
Positioning5.6
Utility4.7
Mechanics7.2
Opening Duels3.2
Win Impact10.0

Composite 6.3/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time644ms−0ms
first ⅓ avg 645ms → last ⅓ avg 644ms
Headshot accuracy20.1%−0.2%
first ⅓ avg 20.3% → last ⅓ avg 20.1%

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.

Highlights

0.19Best rating — vertigo 9–7
132Biggest win — inferno
6Longest win streak
W2Current streak
87In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 78% over 9anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB30151550%-0.02
infernoS2617965%0.01
nukeA2012860%-0.00
cacheS97278%0.01
anubisD61517%-0.03
train41325%0.04
overpass21150%-0.02
ancient21150%0.01
vertigo110100%0.19

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,442Matches
51%Win rate
1.15Avg K/D
79.4ADR
39%Headshot %

Clutches & streaks

48%1v1 clutch win
12%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3444%1.1517.6
Inferno2348%1.2116.1
Nuke1669%1.2417.3
Anubis1354%1.2617.7
Overpass367%1.2223.3
Cache2100%0.9414.5
Ancient10%1.0015.0
Train1100%0.9313.0

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.

19.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.8%Spray accuracy
82.5%Counter-strafing
9.1°Preaim
653msReaction time
43.6%T opening success
41.8%CT opening success
0.59Enemies flashed / flash
3.4%Flash assists
8.07HE damage / grenade
8.27Flashes / match

Recommended for you

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–110.0413%6 Jul
nuke13–70.0014%6 Jul
inferno11–13-0.0511%24 Jun
mirage13–50.044%24 Jun
nuke13–50.0317%24 Jun
cache1–13-0.0713%24 Jun
inferno13–70.0117%14 Jun
inferno13–20.1340%11 Jun
mirage2–13-0.074%11 Jun
anubis4–13-0.0219%31 May
inferno13–10-0.0311%26 May
cache13–20.0421%26 May
mirage13–160.0025%25 May
inferno13–7-0.0210%20 May
cache13–40.0616%20 May
cache13–8-0.0026%19 May
mirage7–2-0.0156%19 May
inferno8–80.0927%18 May
cache13–80.0525%17 May
cache13–40.0119%12 May
vertigo9–70.1926%12 May
cache13–60.0215%5 May
cache11–13-0.0123%5 May
cache13–11-0.0412%4 May
mirage3–13-0.0415%26 Apr
inferno13–60.0415%24 Apr
nuke5–11-0.0126%24 Apr
train7–130.0223%24 Apr
mirage13–30.0338%24 Apr
mirage14–16-0.0114%23 Apr
nuke13–2-0.0729%19 Apr
nuke15–15-0.0131%18 Apr
inferno13–3-0.0110%15 Apr
train12–120.1124%15 Apr
nuke10–13-0.0512%14 Apr
anubis13–9-0.0027%14 Apr
nuke13–40.0921%14 Apr
mirage13–110.009%1 Apr
nuke13–90.0437%31 Mar
nuke13–70.0526%31 Mar
mirage13–60.0221%29 Mar
inferno10–130.0217%28 Mar
inferno13–9-0.0128%26 Mar
mirage5–13-0.0335%26 Mar
nuke10–13-0.0121%26 Mar
mirage13–11-0.0124%25 Mar
mirage10–13-0.0333%23 Mar
mirage13–90.0025%23 Mar
anubis10–13-0.0120%22 Mar
mirage10–13-0.0823%22 Mar
overpass10–13-0.0227%19 Mar
anubis9–13-0.0119%19 Mar
inferno16–140.0240%18 Mar
mirage10–13-0.0414%17 Mar
inferno13–20.1532%17 Mar
inferno13–7-0.0213%11 Mar
anubis10–13-0.0812%11 Mar
nuke13–8-0.0150%9 Mar
anubis14–16-0.0713%9 Mar
mirage13–9-0.0234%9 Mar
nuke13–80.0121%9 Mar
mirage9–13-0.0614%9 Mar
mirage16–13-0.069%3 Mar
inferno13–80.0120%12 Feb
nuke8–13-0.0329%11 Feb
mirage9–13-0.0613%11 Feb
inferno13–110.0128%5 Feb
nuke13–30.0223%30 Jan
mirage13–10-0.0215%28 Jan
mirage13–50.0426%28 Jan
mirage9–13-0.0427%27 Jan
mirage10–13-0.0620%19 Jan
inferno3–13-0.0516%9 Dec
inferno13–9-0.0222%29 Oct
mirage13–90.0431%27 Oct
inferno13–90.0520%14 Oct
nuke13–30.0622%10 Oct
inferno7–13-0.0329%9 Oct
train13–60.0123%8 Oct
overpass13–7-0.0121%8 Oct
mirage1–13-0.0824%8 Oct
nuke0–00.000%6 Oct
nuke14–16-0.0426%6 Oct
mirage16–120.0412%6 Oct
inferno10–13-0.0420%6 Oct
nuke13–20.0519%5 Oct
ancient13–50.0214%5 Oct
inferno10–13-0.0421%30 Sept
inferno13–6-0.0224%30 Sept
mirage14–16-0.0229%29 Sept
ancient4–13-0.0017%28 Sept
mirage13–20.0832%28 Sept
inferno11–13-0.0311%26 Sept
mirage10–13-0.0115%26 Sept
inferno13–80.0734%24 Sept
inferno12–12-0.0513%22 Sept
nuke13–11-0.0613%22 Sept
mirage13–10-0.0313%22 Sept
train5–130.0224%8 Apr
nuke6–13-0.0815%7 Apr

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 →