eLipz

eLipz — CS2 Stats

76561198021293990[U:1:61028262]Steam profile ↗✓ No bans

2,973Tracked matches61%Win rate2022Tracked since
CSDB Rating6.5 SolidSupport
Premier CS Rating18,571Purple band · top ~14.2% of ranked players (population est.)
CSDB Leaderboard#97235 of 240102 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,973 tracked matches. 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. 39 days played since 15 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,571 -8,111 15 Mar19 Sept · 18 days played
18,57127,711peak 27,71115 Mar19 Sept
Faceit ELO: 2,193 +0 1 Sept19 Sept · 3 observations
2,1932,193peak 2,1931 Sept19 Sept
27,711Peak Premier in tracked matches
2,193Highest Faceit ELO seen on CSDB
39Days played since 2026-03-15

Faceit ELO

  • At peak — 2,193
  • Next: 2,500 ELO at 2,500 307 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 9,140 below peak (27,711)
  • -8,149 over 90 days
  • Next: Pink band at 20,000 1,429 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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

Share this profile

CSDB.GGeLipzPREMIER18,571 · Purple bandPEAK ELO2,193csdb.gg/stats

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Performance scores

Aim74
Positioning56
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateWWWWLLLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −3.7pp headshot accuracy · +33ms 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 25%
  • Avg reaction 637ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 608ms

Last 20

  • 1361 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 592ms

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 (+2.1 against its own average).

Aim7.4
Utility6.9
Positioning5.6
Opening Duels2.8
Clutch3.8

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, 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. 589ms 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

Aim7.4
Positioning5.6
Utility6.9
Mechanics7.4
Opening Duels1.9
Win Impact8.6

Composite 6.5/10 (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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time595ms−47ms
first ⅓ avg 642ms → last ⅓ avg 595ms
Headshot accuracy24.0%+2.3%
first ⅓ avg 21.7% → last ⅓ avg 24.0%

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

0.18Best match rating · 12–12 · cache, 10 May
48%Best headshot accuracy · 3–13 · mirage, 29 Mar
430msFastest reaction time · 9–13 · shelter, 15 Aug
13–0Biggest win · nuke, 6 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
911In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 67% over 6trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2112957%0.00
anubisA1810856%0.01
infernoC1771041%-0.02
cacheD101910%-0.00
nukeA95456%0.03
mirageS64267%-0.04
overpassS64267%-0.00
trainD5050%-0.00
vertigo41325%-0.02
ancient32167%0.02
shelter1010%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

1,638Matches
51%Win rate
1.05Avg K/D
78.3ADR
51%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis24658%1.0916.1
Inferno24458%1.0615.7
Dust214851%1.0415.3
Ancient13942%1.0615.8
Mirage8435%0.8914.8
Nuke5848%1.1016.4
Overpass5446%0.9014.1
Vertigo3543%1.1017.4

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.

23.2%Headshot accuracy
31.8%Accuracy (enemy spotted)
34.8%Spray accuracy
83.4%Counter-strafing
9.5°Preaim
589msReaction time
33.7%T opening success
41.4%CT opening success
0.64Enemies flashed / flash
8.2%Flash assists
9.28HE damage / grenade
16.10Flashes / 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 33.656% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–90.0128%6 Sept
dust213–11-0.0617%6 Sept
nuke13–00.1332%6 Sept
anubis13–40.0228%6 Sept
inferno14–16-0.0120%27 Aug
mirage8–13-0.0410%27 Aug
cache10–13-0.0325%27 Aug
dust213–40.0319%27 Aug
cache7–13-0.0529%27 Aug
cache13–11-0.0618%26 Aug
vertigo13–40.0141%26 Aug
vertigo2–13-0.0423%23 Aug
dust213–40.0610%23 Aug
mirage13–100.0026%23 Aug
nuke12–120.0022%22 Aug
ancient13–90.0720%22 Aug
dust27–130.0326%22 Aug
mirage13–7-0.0132%22 Aug
dust213–7-0.0533%22 Aug
nuke13–10.0930%22 Aug
cache14–16-0.0015%22 Aug
dust213–80.0923%17 Aug
anubis13–70.0719%17 Aug
dust29–13-0.0217%16 Aug
inferno11–130.0335%16 Aug
cache15–150.0117%16 Aug
shelter9–13-0.0529%15 Aug
train6–130.0330%15 Aug
anubis13–30.0816%15 Aug
anubis13–100.0219%15 Aug
dust213–16-0.0619%15 Aug
nuke5–13-0.0342%15 Aug
inferno9–13-0.0622%15 Aug
ancient13–5-0.0310%15 Aug
anubis10–13-0.0313%15 Aug
cache6–13-0.0614%15 Aug
train2–130.0118%15 Aug
train11–13-0.0326%15 Aug
dust216–13-0.0335%5 Jul
inferno11–13-0.0128%5 Jul
anubis8–13-0.0410%5 Jul
vertigo4–13-0.0228%9 Jun
anubis13–90.1024%27 May
dust213–80.0439%12 May
inferno7–13-0.0524%11 May
dust23–13-0.0337%11 May
mirage13–9-0.0115%11 May
overpass13–110.0117%10 May
cache12–120.1826%10 May
anubis7–13-0.0623%9 May
inferno13–50.0426%9 May
overpass13–110.0017%3 May
cache10–130.0123%1 May
cache6–130.0324%30 Apr
dust213–90.0430%28 Apr
train12–12-0.0434%28 Apr
train11–130.0226%28 Apr
anubis5–13-0.0219%23 Apr
cache10–13-0.0413%22 Apr
inferno7–130.0123%17 Apr
inferno16–14-0.0721%16 Apr
anubis13–9-0.0332%16 Apr
inferno7–13-0.0415%13 Apr
overpass11–13-0.0223%13 Apr
overpass13–10-0.0319%13 Apr
vertigo11–13-0.0416%10 Apr
mirage13–11-0.0722%9 Apr
overpass13–7-0.0321%7 Apr
inferno13–40.0623%6 Apr
anubis13–20.0926%6 Apr
nuke13–10.0930%2 Apr
anubis8–13-0.099%1 Apr
anubis11–130.0710%1 Apr
inferno13–2-0.0426%31 Mar
dust213–11-0.0423%30 Mar
mirage3–13-0.0948%29 Mar
anubis3–13-0.0522%29 Mar
overpass7–130.0516%29 Mar
inferno13–9-0.0515%29 Mar
anubis13–9-0.039%29 Mar
dust20–13-0.0913%29 Mar
nuke7–13-0.0429%29 Mar
inferno3–13-0.0612%29 Mar
inferno10–13-0.0630%29 Mar
dust26–13-0.0823%29 Mar
anubis10–130.0116%25 Mar
dust211–130.0014%25 Mar
dust211–130.0432%25 Mar
dust213–70.0627%19 Mar
nuke13–10.1230%19 Mar
anubis13–9-0.0012%18 Mar
dust210–13-0.0320%18 Mar
nuke13–11-0.0226%18 Mar
anubis16–130.0212%17 Mar
inferno10–130.0321%17 Mar
ancient5–130.0318%16 Mar
dust213–50.0833%16 Mar
nuke10–13-0.0320%16 Mar
inferno13–10-0.0234%15 Mar
inferno13–11-0.0616%15 Mar

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →