EugeneLOL

EugeneLOL — CS2 Stats

76561198070212548[U:1:109946820]Steam profile ↗✓ No bans

223Tracked matches31%Win rate2021Tracked since
CSDB Rating5.8 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim72
Positioning66
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY34–59–7Last 10034%Win rateTWWLWWLLLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +0.3pp headshot accuracy · −67ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 564ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 546ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

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 Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim7.2
Utility5.0
Positioning6.6
Opening Duels4.0

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

donk

Plays most like donk 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 574ms 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

Aim7.2
Positioning6.6
Utility5.0
Mechanics6.6
Opening Duels5.7
Win Impact0.0

Composite 5.8/10 (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 0.04 → last ⅓ avg 0.01
Reaction time569ms−54ms
first ⅓ avg 623ms → last ⅓ avg 569ms
Headshot accuracy15.3%−3.5%
first ⅓ avg 18.8% → last ⅓ avg 15.3%

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

0.16Best match rating · 13–7 · dust2, 30 Sept →
50%Best headshot accuracy · 1–13 · dust2, 24 Sept →
422msFastest reaction time · 5–13 · dust2, 11 Sept →
13–3Biggest win · ancient, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 40% over 5cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C5821–3736%0.04
nukeD124–833%0.02
mirageC114–736%-0.00
cacheD82–625%0.03
infernoC52–340%0.00
anubis—20–20%-0.05
ancient—21–150%0.05
overpass—20–20%0.05

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.2%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.1%Spray accuracy
79.6%Counter-strafing
9.7°Preaim
574msReaction time
56.4%T opening success
49.3%CT opening success
0.55Enemies flashed / flash
6.4%Flash assists
6.85HE damage / grenade
7.85Flashes / match

Recommended for you

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust212–120.1020%9 Oct →
mirage13–110.0719%9 Oct →
dust213–90.0914%8 Oct →
mirage7–130.0015%8 Oct →
nuke13–50.019%8 Oct →
dust213–50.0817%7 Oct →
dust24–130.0015%7 Oct →
dust211–13-0.0412%7 Oct →
dust211–13-0.0211%6 Oct →
dust211–130.0212%6 Oct →
nuke13–40.084%6 Oct →
dust213–60.088%6 Oct →
mirage7–13-0.0313%2 Oct →
anubis5–13-0.0926%2 Oct →
cache4–13-0.0715%2 Oct →
dust26–13-0.0310%1 Oct →
dust21–13-0.0811%1 Oct →
dust23–130.0318%1 Oct →
dust213–70.1630%30 Sept →
mirage8–13-0.097%29 Sept →
nuke8–13-0.0416%29 Sept →
dust213–9-0.0218%25 Sept →
dust213–90.0812%25 Sept →
dust24–13-0.0411%25 Sept →
dust27–130.036%24 Sept →
dust21–13-0.0550%24 Sept →
dust211–130.0922%24 Sept →
cache6–130.0723%24 Sept →
dust211–130.0415%22 Sept →
ancient3–13-0.052%22 Sept →
dust213–60.0412%22 Sept →
dust25–130.019%22 Sept →
cache5–130.0423%21 Sept →
dust213–40.0316%21 Sept →
dust24–130.0414%21 Sept →
dust28–13-0.0326%18 Sept →
cache13–60.0517%18 Sept →
dust29–30.0422%18 Sept →
dust213–60.0321%18 Sept →
dust212–120.0314%17 Sept →
ancient13–30.1417%17 Sept →
dust213–80.0814%17 Sept →
dust213–110.0815%16 Sept →
dust213–80.1417%16 Sept →
dust24–13-0.0015%16 Sept →
dust213–50.0421%14 Sept →
nuke3–130.039%14 Sept →
dust29–130.0314%14 Sept →
dust213–100.0813%11 Sept →
dust25–130.0214%11 Sept →
dust21–13-0.0210%11 Sept →
dust210–130.006%9 Sept →
dust23–13-0.0913%9 Sept →
inferno2–13-0.089%9 Sept →
inferno13–70.0311%4 Sept →
dust213–80.1119%4 Sept →
dust211–130.0615%4 Sept →
inferno12–12-0.0011%3 Sept →
dust24–130.0016%3 Sept →
nuke3–130.0210%3 Sept →
nuke11–130.0423%3 Sept →
mirage13–11-0.0220%2 Sept →
inferno5–00.0013%2 Sept →
dust212–120.0435%2 Sept →
mirage7–130.0111%5 Aug →
dust213–70.056%10 Jul →
dust29–13-0.0215%10 Jul →
cache16–130.0419%9 Jul →
dust210–130.0826%9 Jul →
nuke7–130.0015%8 Jul →
dust29–13-0.0119%6 Jul →
overpass13–160.0621%3 Jul →
nuke13–110.0212%26 Jun →
anubis2–13-0.003%26 Jun →
nuke13–160.0219%25 Jun →
mirage3–130.0023%17 Jun →
dust25–130.0542%12 Jun →
dust215–150.0210%12 Jun →
dust213–40.1022%10 Jun →
nuke13–30.0514%10 Jun →
nuke9–130.0316%2 Jun →
dust28–130.0624%29 May →
dust213–110.0319%28 May →
mirage12–120.0112%28 May →
overpass7–130.0519%27 May →
dust22–130.0321%27 May →
dust213–100.0820%21 May →
mirage12–12-0.057%21 May →
dust213–90.0219%20 May →
dust25–130.0522%20 May →
inferno11–130.0430%15 May →
mirage13–10-0.0515%15 May →
dust211–130.0631%13 May →
cache6–130.0112%13 May →
nuke4–13-0.0112%7 May →
cache7–130.0410%6 May →
dust210–130.0817%6 May →
dust28–130.1328%5 May →
mirage13–40.0920%5 May →
cache9–130.0523%5 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.