eLyZe

eLyZe — CS2 Stats

76561198296064651[U:1:335798923]Steam profile ↗✓ No bans

478Tracked matches45%Win rate2024Tracked since
386Hours in CS
CSDB Rating4.7 DevelopingPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

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

No change since then — still 478 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. 37 days played since 22 Nov 2025. 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: 16,429 +5,451 22 Nov9 Jan · 28 days played
10,97817,181peak 17,18122 Nov9 Jan
17,181Peak Premier in tracked matches
37Days played since 2025-11-22

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

Performance scores

Aim54
Positioning51
Utility37

0–100 skill scores via Leetify.

Recent form

COLD47476Last 10047%Win rateWLLLLLLLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −3.6pp headshot accuracy · −48ms 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

  • 14 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 613ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 640ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 664ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim5.4
Utility3.7
Positioning5.1
Opening Duels2.5
Clutch1.0

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

jL

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 672ms 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

Aim5.4
Positioning5.1
Utility3.7
Mechanics6.6
Opening Duels2.0
Win Impact3.3

Composite 4.7/10 (Developing), 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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time676ms+20ms
first ⅓ avg 656ms → last ⅓ avg 676ms
Headshot accuracy19.5%+0.1%
first ⅓ avg 19.4% → last ⅓ avg 19.5%

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.

Personal bests

0.20Best match rating · 7–1 · mirage, 12 Dec
42%Best headshot accuracy · 9–5 · inferno, 13 Dec
414msFastest reaction time · 6–13 · dust2, 29 Nov
13–1Biggest win · nuke, 12 Dec

Across the last 100 tracked matches.

Highlights

6Longest win streak
1010In matches decided by ≤2 rounds
18Overtime games

Map breakdown

overpassBest map · 64% over 11ancientWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB24131154%0.01
infernoA2011955%0.00
dust2B1910953%-0.01
ancientD111109%-0.02
overpassA117464%0.01
nukeC73443%0.01
trainD51420%-0.01
cache21150%-0.04
rooftop1010%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,728Lifetime kills
1.59K/D · Top 5% of tracked players
1,730Matches
31.2%Match win rate
63.5%Headshot % · Top 5% of tracked players
9.6%Shot accuracy
2,242MVPs
386Hours (in match)
378Bombs planted
404Bombs defused

Most-used weapons

Lifetime map wins

1,401inferno
983dust2
951nuke
321train
251lake
200office
155vertigo
109safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

26Matches
50%Win rate
0.87Avg K/D
70.7ADR
49%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%0.8414.3
Nuke650%0.9616.3
Inferno450%0.6611.5
Ancient450%0.8814.3
Dust2367%0.7910.3
Train250%1.2528.5

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.

19.7%Headshot accuracy
29.7%Accuracy (enemy spotted)
32.1%Spray accuracy
79.8%Counter-strafing
9.4°Preaim
672msReaction time
35.4%T opening success
40.6%CT opening success
0.62Enemies flashed / flash
2.3%Flash assists
1.74HE damage / grenade
14.19Flashes / 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 35.4151% — below the 40% mark we flag

Spend your practice time on Ancient

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0314%6 Aug
inferno10–13-0.0615%29 Apr
cache11–13-0.0622%29 Apr
mirage5–13-0.0314%25 Apr
ancient8–13-0.0516%25 Apr
mirage9–130.0613%25 Apr
mirage6–130.0222%19 Apr
nuke6–13-0.0412%19 Apr
inferno16–13-0.0215%5 Apr
dust213–11-0.0029%5 Apr
dust213–16-0.0216%5 Apr
nuke9–70.1120%4 Apr
mirage16–14-0.0313%3 Apr
dust216–140.0225%3 Apr
nuke9–13-0.0518%15 Feb
inferno13–70.0527%14 Feb
overpass12–16-0.0017%14 Feb
ancient7–13-0.0515%9 Jan
inferno9–13-0.0333%1 Jan
overpass13–7-0.0623%30 Dec
dust211–13-0.0126%30 Dec
inferno13–110.0415%29 Dec
train13–8-0.0116%29 Dec
mirage13–7-0.0924%29 Dec
mirage9–13-0.0417%29 Dec
dust213–10-0.0518%27 Dec
mirage5–13-0.0522%27 Dec
mirage16–14-0.0931%27 Dec
train15–15-0.0025%26 Dec
dust213–10-0.0518%25 Dec
train6–13-0.0617%25 Dec
mirage13–9-0.0617%25 Dec
overpass13–70.0318%23 Dec
dust213–6-0.0120%23 Dec
dust213–3-0.0126%22 Dec
inferno14–160.0123%22 Dec
inferno13–4-0.0213%14 Dec
mirage13–8-0.0717%14 Dec
dust210–13-0.0223%14 Dec
inferno13–50.1025%14 Dec
inferno13–40.0524%13 Dec
inferno9–5-0.0242%13 Dec
inferno12–16-0.0419%13 Dec
overpass13–110.0324%12 Dec
mirage7–10.2026%12 Dec
nuke13–10.0620%12 Dec
mirage13–4-0.0015%12 Dec
train3–13-0.029%12 Dec
dust23–13-0.0426%12 Dec
dust211–13-0.0220%9 Dec
dust213–90.0324%8 Dec
inferno4–130.0227%7 Dec
overpass10–130.0516%7 Dec
mirage13–90.0518%7 Dec
inferno1–9-0.1514%7 Dec
dust212–16-0.0429%6 Dec
mirage13–40.0526%6 Dec
mirage13–50.0220%6 Dec
overpass13–50.0016%6 Dec
ancient11–130.0416%4 Dec
ancient14–16-0.0221%4 Dec
inferno11–13-0.0226%3 Dec
mirage15–150.0518%3 Dec
ancient13–9-0.049%3 Dec
mirage6–13-0.0123%3 Dec
mirage13–50.0427%2 Dec
mirage13–60.1320%2 Dec
dust213–4-0.0229%1 Dec
mirage16–140.0220%1 Dec
nuke13–8-0.0712%30 Nov
dust213–80.0816%30 Nov
overpass15–15-0.0219%30 Nov
inferno8–13-0.0818%30 Nov
dust27–13-0.0116%30 Nov
mirage5–13-0.0218%30 Nov
inferno13–40.056%30 Nov
inferno13–10-0.0116%30 Nov
dust213–80.0314%29 Nov
dust26–13-0.0631%29 Nov
nuke13–160.0327%29 Nov
mirage7–130.0218%29 Nov
ancient4–130.0029%29 Nov
rooftop8–80.0314%29 Nov
ancient4–13-0.0426%28 Nov
mirage13–160.0723%28 Nov
dust211–13-0.0317%28 Nov
train15–150.0611%28 Nov
overpass13–70.0421%28 Nov
ancient11–130.0312%27 Nov
ancient3–13-0.0419%26 Nov
overpass13–110.0218%26 Nov
overpass11–13-0.0321%24 Nov
inferno13–100.0131%24 Nov
ancient15–150.0814%23 Nov
overpass13–100.0618%23 Nov
inferno13–80.0923%23 Nov
mirage6–130.0123%23 Nov
ancient6–13-0.1314%23 Nov
inferno8–130.0424%22 Nov
nuke6–130.0322%22 Nov

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →